Assessing the Suitability of CHA2DS2-VASc for Predicting Adverse Limb Events and Cardiovascular Outcomes in Peripheral Artery Disease Patients with Percutaneous Transluminal Angioplasty: A Retrospective Cohort Study.

Patients with peripheral artery disease (PAD) are at high risk of major adverse limb events (MALEs) and major adverse cardiovascular events (MACEs). CHA2DS2-VASc is a prognostic score for atrial fibrillation stroke risk; however, no study has evaluated its predictive ability for MALEs and MACEs in PAD patients who underwent percutaneous transluminal angioplasty. We conducted a retrospective cohort study on patients from Taiwan with PAD. The patients were stratified into four risk groups based on their modified CHA2DS2-VASc score. Cox proportional hazard models, 10-fold cross-validation, and receiver operating characteristic (ROC) analyses were utilized to evaluate the predictive ability of CHA2DS2-VASc for MALEs, MACEs, and MALEs + MACEs. Kaplan-Meier analysis estimated the survival probability of the risk groups. CHA2DS2-VASc was found to be a significant predictor of MACEs (hazard ratio (HR) 3.52 (95% confidence interval (95% CI) 1.00-12.12; p = 0.048), HR 4.18 (95% CI 1.19-14.36; p = 0.023), and HR 5.08 (95% CI 1.49-17.36; p = 0.009), for moderate-, high-, and very high-risk groups, respectively), while for MALEs and MALEs + MACEs, significance was achieved only for the high-risk group using a univariate model. For the multivariate adjusted model, the score was found to be a significant predictor of MACEs for only the very high-risk group, with an HR of 4.67 (95% CI 1.03-21.09; p = 0.045). The score demonstrated an AUC > 0.8, good discrimination (c-index > 0.8), and good calibration for predicting MACEs. However, it failed to achieve good performance for predicting MALEs and MALEs + MACEs. Based on all of the findings, CHA2DS2-VASc could potentially serve as a risk stratification score for predicting MACEs in patients with PAD, but it failed to qualify as a good predictor for MALEs.

Effects of sleep disturbance, cancer-related fatigue, and psychological distress on breast cancer patients' quality of life: a prospective longitudinal observational study.

More attention has gone to researching the cancer-related fatigue (CRF)-sleep disturbance (SD)-psychological distress (PD) symptom cluster in breast cancer patients during the chemotherapy period, but the change trend and heterogeneous development track in the whole treatment stage remain unclear, and it is also unclear whether the appearance of and changes in one symptom cause changes in other symptoms and quality of life (QoL). This study, using breast cancer patients' data collected through a validated questionnaire, examined the relationships between SD, CRF, PD, and QoL using latent growth modeling analyses. CRF developmental trajectories showed an upward trend over five surveys (slope = 0.649, P < 0.001); PD showed a significant weakening trend (slope = - 0.583, P < 0.001); SD showed an increasing trend (slope = 0.345, P < 0.001), and QoL showed a statistically significant weakening trend (slope = - 0.373, P < 0.001). The initial CRF (coefficient = - 0.233, P < 0.01), PD (coefficient = - 0.296, P < 0.01), and SD (coefficient = - 0.388, P < 0.001) levels had a statistically significant negative effect on initial QoL level. The linear development rate of PD was statistically significant and negatively affected that of QoL (coefficient = - 0.305, P < 0.05), whereas the quadratic development rate of SD negatively affected that of QoL (coefficient = - 0.391, P < 0.05). Medical staff should identify the change characteristics of different variables based on SD, CRF, PD, and QoL change trajectories, and advance the intervention time, as changes in variables affect other variables' subsequent changes.

Room-temperature low-threshold avalanche effect in stepwise van-der-Waals homojunction photodiodes.

Avalanche or carrier-multiplication effect, based on impact ionization processes in semiconductors, has a great potential for enhancing the performance of photodetector and solar cells. However, in practical applications, it suffers from high threshold energy, reducing the advantages of carrier multiplication. Here, we report on a low-threshold avalanche effect in a stepwise WSe2 structure, in which the combination of weak electron-phonon scattering and high electric fields leads to a low-loss carrier acceleration and multiplication. Owing to this effect, the room-temperature threshold energy approaches the fundamental limit, Ethre ≈ Eg, where Eg is the bandgap of the semiconductor. Our findings offer an alternative perspective on the design and fabrication of future avalanche and hot-carrier photovoltaic devices.

Nanowire Array Breath Acetone Sensor for Diabetes Monitoring.

Diabetic ketoacidosis (DKA) is a life-threatening acute complication of diabetes characterized by the accumulation of ketone bodies in the blood. Breath acetone, a ketone, directly correlates with blood ketones. Therefore, monitoring breath acetone can significantly enhance the safety and efficacy of diabetes care. In this work, the design and fabrication of an InP/Pt/chitosan nanowire array-based chemiresistive acetone sensor is reported. By incorporation of chitosan as a surface-functional layer and a Pt Schottky contact for efficient charge transfer processes and photovoltaic effect, self-powered, highly selective acetone sensing is achieved. The sensor has exhibited an ultra-wide acetone detection range from sub-ppb to >100 000 ppm level at room temperature, covering those in the exhaled breath from healthy individuals (300-800 ppb) to people at high risk of DKA (>75 ppm). The nanowire sensor has also been successfully integrated into a handheld breath testing prototype, the Ketowhistle, which can successfully detect different ranges of acetone concentrations in simulated breath samples. The Ketowhistle demonstrates the immediate potential for non-invasive ketone monitoring for people living with diabetes, in particular for DKA prevention.

Optically Tunable Electrical Oscillations in Oxide-Based Memristors for Neuromorphic Computing.

The application of hardware-based neural networks can be enhanced by integrating sensory neurons and synapses that enable direct input from external stimuli. This work reports direct optical control of an oscillatory neuron based on volatile threshold switching in V3O5. The devices exhibit electroforming-free operation with switching parameters that can be tuned by optical illumination. Using temperature-dependent electrical measurements, conductive atomic force microscopy (C-AFM), in situ thermal imaging, and lumped element modelling, it is shown that the changes in switching parameters, including threshold and hold voltages, arise from overall conductivity increase of the oxide film due to the contribution of both photoconductive and bolometric characteristics of V3O5, which eventually affects the oscillation dynamics. Furthermore, V3O5 is identified as a new bolometric material with a temperature coefficient of resistance (TCR) as high as -4.6% K-1 at 423 K. The utility of these devices is illustrated by demonstrating in-sensor reservoir computing with reduced computational effort and an optical encoding layer for spiking neural network (SNN), respectively, using a simulated array of devices.

Incidence and risk factors for psychological distress in adult female patients with breast cancer: a systematic review and meta-analysis.

Introduction: Cancer-related distress can be described as a complex and unpleasant combination of psychological (such as cognitive, behavioral, and emotional), social, and spiritual challenges that may impact an individual's ability to effectively cope with the physical symptoms of cancer and its treatment. Existing literature has confirmed psychological distress (PD) as an important sequela of breast cancer diagnosis and treatment. However, the incidence and risk factors for PD in adult female patients with breast cancer remain unclear; therefore, focusing on the PD of female breast cancer patients is meaningful, as they are at highest risk of contracting breast cancer, and might differ in their coping styles from men. Objective: This review aimed to identify the incidence and risk factors for PD in adult woman patients with breast cancer, and to help guide targeted intervention to prevent distress. Method: PubMed, Embase, Cochrane Library, CINAL, PsycINFO, China Knowledge Resource Integrated Database, Wanfang Database, the Chinese Biomedical Database, and Weipu Database were searched for data regarding the incidence and risk factors of PD in adult women with breast cancer. Results: The prevalence of PD, assessed using the distress thermometer, ranged between 11.2%-86.7%, and a meta-analysis of 47 studies with 15,157 adult female breast cancer patients showed that the pooled prevalence was 52.0%. Further, this study identified 40 risk factors. However, owing to the inclusion of at least two studies for a certain risk factor, 10 risk factors were merged for the meta-analysis. Independent risk factors included higher education level, late-stage tumor, emotional concerns, no medical insurance, modified radical mastectomy, and history of depression; age and neuroticism were not associated with PD; and higher monthly income was revealed as a protective factor against it. Conclusion: The incidence of PD in female patients with breast cancer is high and it involves 10 risk factors, though some are controversial owing to insufficient evidence. Further research is needed to explore the underlying mechanisms of PD and develop risk factor-based holistic intervention programs to reduce its incidence. Systematic review registration: The protocol of this study has been registered in the database PROSPERO (registration ID: CRD42023433578).

Investigating fear of cancer recurrence among female breast cancer survivors and their spouses in southwest China: a cross-sectional study.

OBJECTIVES: Examining fear of cancer recurrence (FCR) among breast cancer survivors and their spouses, and the protective effect of family resilience on FCR among couples affected by breast cancer. DESIGN: Cross-sectional survey design. SETTING: Ten general grade IIIa (>500 beds) hospitals in southwest China. PARTICIPANTS: Overall, 392 early breast cancer survivors and their spousal caregivers (N=392) were recruited from cancer centres in hospitals. PRIMARY AND SECONDARY OUTCOME MEASURES: Spouses' and survivors' FCR were the primary outcome measures. Family resilience and perceived stress were the secondary outcome measures. Using a convenience sampling method, we collected data on-site using paper questionnaires. The Chinese version of the Family Resilience Assessment Scale, Perceived Stress Scale, Fear of Progression Questionnaire Short Form and Fear of Progression Questionnaire-Short Form for spouses were used to evaluate the outcomes. RESULTS: The model accounted for 66.3% and 53.6% of the variance in spouses' FCR and survivors' FCR, respectively. Family resilience directly negatively affected perceived stress and spouses' and survivors' FCR (ß=-0.22; ß=-0.13; ß=-0.19). Perceived stress was a partial mediator of the association between family resilience and survivors' FCR (ß=-0.070; 95% CI :-0.151 to -0.022). Spouses' FCR partially mediated the association between family resilience and survivors' FCR (ß=-0.048; 95% CI= -0.092 to -0.015). Perceived stress and spouses' FCR played a significant chain-mediated role between family resilience and survivors' FCR (ß=-0.061; 95% CI: -0.119 to -0.022). CONCLUSIONS: Family-centred approaches to reducing survivors' perceived stress can improve the psychological well-being of couples affected by breast cancer and ultimately reduce FCR. Medical staff should consider the psychological feelings of survivors and their spousal caregivers when devising the intervention plan, which should address the families' potential and mobilise family and community resources for increasing family resilience.

An efficient modeling workflow for high-performance nanowire single-photon avalanche detector.

Single-photon detector (SPD), an essential building block of the quantum communication system, plays a fundamental role in developing next-generation quantum technologies. In this work, we propose an efficient modeling workflow of nanowire SPDs utilizing avalanche breakdown at reverse-biased conditions. The proposed workflow is explored to maximize computational efficiency and balance time-consuming drift-diffusion simulation with fast script-based post-processing. Without excessive computational effort, we could predict a suite of key device performance metrics, including breakdown voltage, dark/light avalanche built-up time, photon detection efficiency, dark count rate, and the deterministic part of timing jitter due to device structures. Implementing the proposed workflow onto a single InP nanowire and comparing it to the extensively studied planar devices and superconducting nanowire SPDs, we showed the great potential of nanowire avalanche SPD to outperform their planar counterparts and obtain as superior performance as superconducting nanowires, i.e. achieve a high photon detection efficiency of 70% with a dark count rate less than 20 Hz at non-cryogenic temperature. The proposed workflow is not limited to single-nanowire or nanowire-based device modeling and can be readily extended to more complicated two-/three dimensional structures.

Psychological distress in adult women of reproductive age at different stages after breast cancer diagnosis: A qualitative study.

AIM: To explore the actual experience of psychological distress of adult women of reproductive age at different stages after breast cancer diagnosis. DESIGN: Qualitative. METHODS: Eighty-one patients with breast cancer-related distress thermometer scores >4 were selected using a purposive sampling method. Patients were divided into newly diagnosed and 1-, 3-, 6-, 9- and 12-month groups according to time since diagnosis and then interviewed. A phenomenological approach was adopted to analyse interview content, and different themes were extracted. RESULTS: Women exhibited different levels of psychological distress depending on the time since diagnosis, with newly diagnosed patients showing the highest distress. Within 1 year post-diagnosis, different events caused patients distress. Themes extracted at new diagnosis and 1-, 3-, 6-, 9- and 12 months post-diagnosis included sadness and disbelief, loss of control, optimistic but concerned, physical and mental exhaustion, difficulties returning to society and limited sexual intimacy, respectively; all groups expressed reproductive concerns. CONCLUSION: Clinical nurses should focus on different psychologically distressing events to provide targeted interventions at distinct phases. For women of childbearing age, clinical nurses should pay particular attention to patients' marriage and reproductive concerns. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE: During the year after a breast cancer diagnosis, patients of childbearing age experience events that cause psychological distress that differ depending on time since diagnosis. Nurses should focus on core stressful events and perform specific nursing interventions. IMPACT: To provide holistic care, nurses should consider the psychological and emotional changes patients may undergo. For women of childbearing age, clinical nurses should pay particular attention to patients' marriage and fertility concerns, and be able to provide evidence-based professional guidance on reproductive preservation techniques. REPORTING METHOD: The study was reported using the consolidated criteria for reporting qualitative research guidelines. PATIENT OR PUBLIC CONTRIBUTION: Patients contributed to data collection through interviews.

Relationships between Attachment Style, Emotional Self-Disclosure, and Quality of Life among Young Breast Cancer Survivors: A Cross-Sectional Study.

OBJECTIVES: This investigation aims to explore relationships between adult attachment, emotional self-disclosure, and quality of life (QoL). DATA SOURCES: The study sample completed the Chinese versions of the Experiences in Close Relationships Inventory, the Functional Assessment of Cancer Therapy-Breast Scale, and the Distress Disclosure Index between October 2021 and March 2022. The relationships between adult attachment, emotional self-disclosure, and QoL were investigated using a multiple mediation effects test and structural equation modeling. CONCLUSION: Attachment anxiety and avoidance were risk factors for young Chinese breast cancer survivors' emotional self-disclosure and QoL. Emotional self-disclosure mediates the association between attachment anxiety or avoidance and QoL. Assessing and easing attachment anxiety and avoidance may improve the emotional self-disclosure and QoL of young breast cancer survivors. IMPLICATIONS FOR NURSING PRACTICE: This study confirms that adult attachment plays an important role in young breast cancer patients' adaptation to the disease and that high adult anxiety and avoidance levels can significantly reduce emotional self-disclosure and QoL in young breast cancer survivors. Identifying attachment patterns can help caregivers better understand patients' responses, adaptation, and treatment adherence to cancer, thereby helping caregivers develop targeted and personalized cancer care practice programs or psychotherapy interventions to improve patients' physical and mental health outcomes.

Optical Nonlinearity Enabled Super-Resolved Multiplexing Microscopy.

Optical multiplexing for nanoscale object recognition is of great significance within the intricate domains of biology, medicine, anti-counterfeiting, and microscopic imaging. Traditionally, the multiplexing dimensions of nanoscopy are limited to emission intensity, color, lifetime, and polarization. Here, a novel dimension, optical nonlinearity, is proposed for super-resolved multiplexing microscopy. This optical nonlinearity is attributable to the energy transitions between multiple energy levels of the doped lanthanide ions in upconversion nanoparticles (UCNPs), resulting in unique optical fingerprints for UCNPs with different compositions. A vortex beam is applied to transport the optical nonlinearity onto the imaging point-spread function (PSF), creating a robust super-resolved multiplexing imaging strategy for differentiating UCNPs with distinctive optical nonlinearities. The composition information of the nanoparticles can be retrieved with variations of the corresponding PSF in the obtained image. Four channels multiplexing super-resolved imaging with a single scanning, applying emission color and nonlinearity of two orthogonal imaging dimensions with a spatial resolution higher than 150 nm (1/6.5λ), are demonstrated. This work provides a new and orthogonal dimension - optical nonlinearity - to existing multiplexing dimensions, which shows great potential in bioimaging, anti-counterfeiting, microarray assays, deep tissue multiplexing detection, and high-density data storage.

Highly Responsive Switchable Broadband DUV-NIR Photodetector and Tunable Emitter Enabled by Uniform and Vertically Grown III-V Nanowire on Silicon Substrate for Integrated Photonics.

Low-dimensional semiconductor nanostructures, particularly in the form of nanowire configurations with large surface-to-volume-ratio, offer intriguing optoelectronic properties for the advancement of integrated photonic technologies. Here, a bias-controlled, superior dual-functional broadband light detecting/emitting diode enabled by constructing the aluminum-gallium-nitride-based nanowire on the silicon-platform is reported. Strikingly, the diode exhibits a stable and high responsivity (R) of over 200 mAW-1 covering an extremely wide operation band under reverse bias conditions, ranging from deep ultraviolet (DUV: 254 nm) to near-infrared (NIR: 1000 nm) spectrum region. While at zero bias, it still possesses superior DUV light selectivity with a high off-rejection ratio of 106. When it comes to the operation of the light-emitting mode under forward bias, it can achieve large spectral changes from UV to red simply by coating colloid quantum dots on the nanowires. Based on the multifunctional features of the diodes, this study further employs them in various optoelectronic systems, demonstrating outstanding applications in multicolor imaging, filterless color discrimination, and DUV/NIR visualization. Such highly responsive broadband photodetector with a tunable emitter enabled by III-V nanowire on silicon provides a new avenue toward the realization of integrated photonics and holds great promise for future applications in communication, sensing, imaging, and visualization.

Farming on the Ocean via Desalination (FOOD).

Today, agricultural irrigation consumes the largest amount of freshwater globally, while humans are threatened by water scarcity. To eliminate the trade-off between hunger and thirst, here, we show off-grid maritime agriculture based on a floating solar-driven agro-desalination wooden dome. In this dome, part of the visible light is transmitted for photosynthesis, and the remaining solar energy drives solar desalination, providing enough water (>4 mm day-1) for irrigation. Based on this water-food synergy, the stages of germination and growth are demonstrated. This technology can, to a large extent, support food security and sustainable agriculture and, in principle, be used to create self-circulation systems at sea to help humans survive weather extremes such as floods and droughts.

Methanol Extracts from Cirsium japonicum DC. var. australe Kitam. and Their Active Components Reduce Intracellular Oxidative Stress in Caenorhabditis elegans.

Cirsium japonicum DC. var. australe Kitam. has been used as an herbal remedy and often involves using the whole plant or roots. However, the bioactivities of different parts of the plant have been far less explored. This study aimed to evaluate the antioxidative ability of methanol extracts from the flowers, leaves, stems, and roots of the Cirsium plant and their possible active components against juglone-induced oxidative stress in the nematode Caenorhabditis elegans. The results showed that the highest dry weight (12.3 g per plant) was observed in leaves, which was followed by stems (8.0 g). The methanol extract yields from the flowers, leaves, and roots were all similar (13.0-13.8%), while the yield from stems was the lowest (8.6%). The analysis of the silymarin contents in the extracts indicated that the flowers, leaves, stems, and roots contained silychristin and taxifolin; however, silydianin was only found in the leaves, stems, and roots. The flower, leaf, and stem extracts, at a concentration of 10 mg/L, significantly reduced juglone-induced oxidative stress in C. elegans, which was potentially due to the presence of silychristin and taxifolin. Overall, C. japonicum DC. var. australe Kitam. contains a significant amount of silymarin and exhibits in vivo antioxidative activity, suggesting that the prospects for the plant in terms of health supplements or as a source of silymarin are promising.

Structure-Informed Shadow Removal Networks.

Existing deep learning-based shadow removal methods still produce images with shadow remnants. These shadow remnants typically exist in homogeneous regions with low-intensity values, making them untraceable in the existing image-to-image mapping paradigm. We observe that shadows mainly degrade images at the image-structure level (in which humans perceive object shapes and continuous colors). Hence, in this paper, we propose to remove shadows at the image structure level. Based on this idea, we propose a novel structure-informed shadow removal network (StructNet) to leverage the image-structure information to address the shadow remnant problem. Specifically, StructNet first reconstructs the structure information of the input image without shadows and then uses the restored shadow-free structure prior to guiding the image-level shadow removal. StructNet contains two main novel modules: 1) a mask-guided shadow-free extraction (MSFE) module to extract image structural features in a non-shadow-to-shadow directional manner; and 2) a multi-scale feature & residual aggregation (MFRA) module to leverage the shadow-free structure information to regularize feature consistency. In addition, we also propose to extend StructNet to exploit multi-level structure information (MStructNet), to further boost the shadow removal performance with minimum computational overheads. Extensive experiments on three shadow removal benchmarks demonstrate that our method outperforms existing shadow removal methods, and our StructNet can be integrated with existing methods to improve them further.

Long period changes of hippocampal diffusion kurtosis imaging and its correlation with cognitive dysfunction after incomplete cerebral ischemia-reperfusion in rats.

This study aims to summarize the changes of functional diffusion kurtosis imaging (DKI) parameters in the bilateral hippocampal CA1 region of the hemorrhagic shock reperfusion (HSR) model of rats and their correlation with cognitive dysfunction. Adult male Sprague-Dawley rats (9-10 weeks of age, weighing 350-400 g) were randomized into the HSR group (n = 30) and the sham-operated group (Sham) (n = 30). Rats in the HSR group and the Sham group were subdivided into five time points (1, 2, 4, 8, and 12 weeks) for examination. Diffusion kurtosis imaging (DKI) was performed. Cognitive dysfunction was analyzed by the Morris Water Maze. The correlation between the DKI parameters and cognitive dysfunction was analyzed by the Spearman correlation. In the HSR group, the values of axial kurtosis (Ka), radial kurtosis (Kr), and mean kurtosis (MK) in the bilateral hippocampal CA1 of rats at 1, 2, 4, 8 and 12 weeks after the surgery were significantly higher. The rats in the HSR group had significantly longer escape latency than in the Sham group. The rats in the HSR group had significantly shorter time and shorter distance in target quadrant than those in the Sham group. The escape latency had positive correlation with MK, Ka, and Kr. The distance and the time in target quadrant had negative correlation with MK, Ka, and Kr. The parameters get from the DKI could accurately evaluate the abnormal blood perfusion and microstructure changes in hippocampal CA1 area of the incomplete cerebral ischemia reperfusion rats induced by HSR. MK, Ka, and Kr values could reflect the decreased learning and memory ability in HSR rat model.

An avalanche-and-surge robust ultrawide-bandgap heterojunction for power electronics.

Avalanche and surge robustness involve fundamental carrier dynamics under high electric field and current density. They are also prerequisites of any power device to survive common overvoltage and overcurrent stresses in power electronics applications such as electric vehicles, electricity grids, and renewable energy processing. Despite tremendous efforts to develop the next-generation power devices using emerging ultra-wide bandgap semiconductors, the lack of effective bipolar doping has been a daunting obstacle for achieving the necessary robustness in these devices. Here we report avalanche and surge robustness in a heterojunction formed between the ultra-wide bandgap n-type gallium oxide and the wide-bandgap p-type nickel oxide. Under 1500 V reverse bias, impact ionization initiates in gallium oxide, and the staggered band alignment favors efficient hole removal, enabling a high avalanche current over 50 A. Under forward bias, bipolar conductivity modulation enables the junction to survive over 50 A surge current. Moreover, the asymmetric carrier lifetime makes the high-level carrier injection dominant in nickel oxide, enabling a fast reverse recovery within 15 ns. This heterojunction breaks the fundamental trade-off between robustness and switching speed in conventional homojunctions and removes a key hurdle to advance ultra-wide bandgap semiconductor devices for power industrial applications.

Data on the effects of The-Optimal-Lymph-Flow program on lymphedema symptoms in breast cancer survivors.

A substantial proportion of more than 50% of breast cancer survivors, who remain undiagnosed with lymphedema, encounter a daily struggle with the presence of multiple and concomitant lymphedema associated symptoms (i.e., lymphedema symptoms). The-Optimal-Lymph-Flow (TOLF) program was developed based on physiological-cognitive-behavioral principles to educate breast cancer survivors on effective self-care strategies. Physiologically, TOLF program was designed to stimulate lymphatic system to enhance lymph flow, thereby alleviating lymphedema symptoms and mitigating the risk and severity of lymphedema. The dataset presented in this article was obtained from a randomized clinical trial (RCT) that assessed the preventive effects of the TOLF program in improving lymphedema symptom experience and optimizing lymph fluid status among breast cancer survivors who were at higher risk for lymphedema. Between January 2019 and June 2020, a RCT was conducted to recruit 92 eligible participants who were assigned randomly to either the TOLF group (intervention) or the arm mobility group (control). Demographic and clinical data were collected at baseline and updated over the study period. Outcome data were collected at baseline and three months after intervention. Study outcomes included lymphedema symptom experience (i.e., number, severity, distress of lymphedema symptoms, and impact on daily activities) and lymph fluid status. The Breast Cancer and Lymphedema Symptom Experience Index (BCLE-SEI) was utilized to assess lymphedema symptoms and circumferential arm measurement was utilized to estimate limb volume differences (a surrogate for lymph fluid status). The dataset based on the RCT allowed confirmation of positive effects of the TOLF intervention during early postoperative period. The dataset can be further utilized as a benchmark reference in clinical settings or experimental research to determine the effects of optimal lymphatic exercise dosage on lymphedema risk reduction and symptom alleviation as well as provide a basis for future research related to this topic.

Teachers' and students' perspectives on the needs of community practice teachers: a cross-sectional study.

BACKGROUND: An accurate assessment of teaching needs is necessary to ensure targeted teacher training programs are developed and implemented to improve teaching outcomes. The assessment of teaching needs from different perspectives helps to identify teaching needs more accurately. Therefore, based on the different perspectives of teachers and students, this study aimed to identify and evaluate the needs of community practice teachers by measuring discrepancies between perceived teaching importance and actual teaching performance, with a focus on the influencing factors. METHODS: A survey was circulated to 220 teachers in 36 community health service centers and 695 students in 6 medical schools in Southwest China. The participants anonymously completed the teacher or student version of the Chinese version of the Teacher Teaching Needs Questionnaire, which is predominantly used to assess the teaching needs of teachers. Both versions of the questionnaire include 27 items, covering 3 dimensions (including teaching skills, teaching environments, and teaching contents). The ordinal logistic regression was conducted to explore the factors that influenced teaching needs. RESULTS: The teachers and students produced overall self-evaluated teaching needs scores of 0.61 and 0.62 respectively. The teachers from provincial capital cities and low-educated teachers had teaching needs that are lower (OR = 0.641,95% CI: 0.461-0.902, OR = 15.352, 95% CI: 1.253-26.815, separately). Teachers with < 3 years of teaching experience had higher teaching needs (OR = 3.280, 95% CI: 1.153-10.075) than those with > 10 years of experience. Compared with teachers who self-evaluated their teaching outcomes as poor, those who reported extremely excellent (OR = 0.362, 95% CI: 0.220-0.701), excellent (OR = 0.638, 95% CI: 0.426-1.102), and ordinary (OR = 0.714, 95% CI: 0.508-1.034) teaching outcomes had lower teaching needs. Compared with teachers who self-evaluated their teaching abilities as poor, those who reported extremely excellent (OR = 0.536, 95% CI: 0.313-0.934), excellent (OR = 0.805, 95% CI: 0.518-1.269), and ordinary (OR = 0.737, 95% CI: 0.413-1.322) teaching abilities had lower teaching needs. CONCLUSIONS: Greater assistance should be provided to teachers with lower levels of education, fewer than three years of teaching experience, and who are located in non-capital cities, as these individuals require additional efforts to strengthen competencies. The education department should pay more attention to teacher feedback on practical outcomes and teaching abilities, as this can be used to devise the best teacher development plans. TRIAL REGISTRATION: Not applicable.