Complexity matters: Normalization to prototypical viewpoint induces memory distortion along the vertical axis of scenes.

Scene memory is prone to systematic distortions potentially arising from experience with the external world. Boundary transformation, a well-known memory distortion effect along the near-far axis of the three-dimensional space, represents the observer's erroneous recall of scenes' viewing distance. Researchers argued that normalization to the prototypical viewpoint with the high-probability viewing distance influenced this phenomenon. Herein, we hypothesized that the prototypical viewpoint also exists in the vertical Angle of View (AOV) dimension and could cause memory distortion along scenes' vertical axis. Human subjects of both sexes were recruited to test this hypothesis and two behavioral experiments were conducted, revealing a systematic memory distortion in the vertical AOV in both the forced choice (n = 79) and free adjustment (n = 30) tasks. Furthermore, the regression analysis implied that the complexity information asymmetry in scenes' vertical axis and the independent subjective AOV ratings from a large set of online participants (n = 1208) could jointly predict AOV biases. Furthermore, in a functional Magnetic Resonance Imaging (fMRI) experiment (n = 24), we demonstrated the involvement of areas in the ventral visual pathway (V3/V4, PPA, and OPA) in AOV bias judgment. Additionally, in a Magnetoencephalography (MEG) experiment (n = 20), we could significantly decode the subjects' AOV bias judgments ∼140 ms after scene onset and the low-level visual complexity information around the similar temporal interval. These findings suggest that AOV bias is driven by the normalization process and associated with the neural activities in the early stage of scene processing.Significance Statement Perceiving a scene with high precision is critical for our navigation and interaction with the surrounding environment. However, systematic memory distortion is quite common. Herein, we discovered that scene memory could be distorted to the upper or lower visual field. According to the behavioral results, multiple measures of scenes' complexity information were critically involved in the formation of this memory distortion. Furthermore, the results support the normalization theory regarding the existence of a high-probability prototypical viewpoint in scene processing. Our findings also suggested that the normalization process-induced scene memory distortion could be beneficial for the observer's future action selection. The identified complexity measures could be used in designing Artificial Intelligence (AI) systems with navigational functions.

Exploring agro-morphological and fiber traits diversity in cotton (G. barbadense L.).

Cotton (Gossypium barbadense L.) is a leading fiber and oilseed crop globally, but genetic diversity among breeding materials is often limited. This study analyzed genetic variability in 14 cotton genotypes from Egypt and other countries, including both cultivated varieties and wild types, using agro-morphological traits and genomic SSR markers. Field experiments were conducted over two seasons to evaluate 12 key traits related to plant growth, yield components, and fiber quality. Molecular diversity analysis utilized 10 SSR primers to generate DNA profiles. The Molecular diversity analysis utilized 10 SSR primers to generate DNA profiles. Data showed wide variation for the morphological traits, with Egyptian genotypes generally exhibiting higher means for vegetative growth and yield parameters. The top-performing genotypes for yield were Giza 96, Giza 94, and Big Black Boll genotypes, while Giza 96, Giza 92, and Giza 70 ranked highest for fiber length, strength, and fineness. In contrast, molecular profiles were highly polymorphic across all genotypes, including 82.5% polymorphic bands out of 212. Polymorphism information content was high for the SSR markers, ranging from 0.76 to 0.86. Genetic similarity coefficients based on the SSR data varied extensively from 0.58 to 0.91, and cluster analysis separated genotypes into two major groups according to geographical origin. The cotton genotypes displayed high diversity in morphology and genetics, indicating sufficient variability in the germplasm. The combined use of physical traits and molecular markers gave a thorough understanding of the genetic diversity and relationships between Egyptian and global cotton varieties. The SSR markers effectively profiled the genotypes and can help select ideal parents for enhancing cotton through hybridization and marker-assisted breeding.

Optical and electronic properties of MgPc-Ch-diisoQ blend organic thin film as an active layer for photovoltaic cells.

Organic photovoltaic cells are a promising technology for generating renewable energy from sunlight. These cells are made from organic materials, such as polymers or small molecules, and can be lightweight, flexible, and low-cost. Here, we have created a novel mixture of magnesium phthalocyanine (MgPc) and chlorophenyl ethyl diisoquinoline (Ch-diisoQ). A coating unit has been utilized in preparing MgPc, Ch-diisoQ, and MgPc-Ch-diisoQ films onto to FTO substrate. The MgPc-Ch-diisoQ film has a spherical and homogeneous surface morphology with a grain size of 15.9 nm. The optical absorption of the MgPc-Ch-diisoQ film was measured, and three distinct bands were observed at 800-600 nm, 600-400 nm, and 400-250 nm, with a band gap energy of 1.58 eV. The current density-voltage and capacitance-voltage measurements were performed to analyze the photoelectric properties of the three tested cells. The forward current density obtained from our investigated blend cell is more significant than that for each material by about 22%. The photovoltaic parameters (Voc, Isc, and FF) of the MgPc-Ch-diisoQ cell were found to be 0.45 V, 2.12 µA, and 0.4, respectively. We believe that our investigated MgPc-Ch-diisoQ film will be a promising active layer in organic solar cells.

Pupillary Responses Reflect Dynamic Changes in Multiple Cognitive Factors During Associative Learning in Primates.

Associative learning involves complex interactions of multiple cognitive factors. While adult subjects can articulate these factors verbally, for model animals such as macaques, we rely on behavioral outputs. In our study, we used pupillary responses as an alternative measure to capture these underlying cognitive changes. We recorded the dynamic changes in the pupils of three male macaques when they learned the associations between visual stimuli and reward sizes under the classical Pavlovian experimental paradigm. We found that during the long-term learning process, the gradual changes in the pupillary response reflect the changes in the cognitive state of the animals. The pupillary response can be explained by a linear combination of components corresponding to multiple cognitive factors. These components reflect the impact of visual stimuli on the pupils, the prediction of reward values associated with the visual stimuli, and the macaques' understanding of the current experimental reward rules. The changing patterns of these factors during interday and intraday learning clearly demonstrate the enhancement of current reward-stimulus association and the weakening of previous reward-stimulus association. Our study shows that the dynamic response of pupils can serve as an objective indicator to characterize the psychological changes of animals, understand their learning process, and provide important tools for exploring animal behavior during the learning process.

The effect of lower back and lower-extremity kinesiology taping on static balance and physical function performance in people with multiple sclerosis: A pilot study.

INTRODUCTION: Multiple sclerosis (MS) can lead to numerous deficits in body functions, including balance and mobility impairment. This study examined the effect of lower back and lower extremity kinesiology tape (KT) application on static balance and physical functioning performance in people with MS (pwMS) and compared that to a non-elastic tape. METHODS: This pilot randomized study recruited and enrolled 10 participants with MS that were allocated into two groups: kinesio (n = 6) and non-elastic (n = 4) tape. Participants were assessed with and without the respective tape on static balance with eyes open and closed and various physical function tests. RESULTS: Effect sizes for the Kinesio tape intervention were found to be small, while effect sizes for the sham tape/place condition varied from small to high. For both groups, the tendency was to reduce or maintain performance on the tests comparing tape and no tape. A subsequent, mixed-factor ANOVA revealed no significant difference between KT or sham tape/placebo. CONCLUSION: Our findings suggest that KT applied on lower back and lower extremity muscles does not seem to improve static balance and physical function performance in pwMS.

Investigating the Spatial Distribution of Proliferating Cells in Primary Ovarian Cancers.

BACKGROUND: Ovarian cancer (OC) accounts for about 4% of female cancers globally. While Ki67-immunopositive (Ki67+) cell density is commonly used to assess proliferation in OC, the two-dimensional (2D) distribution pattern of these cells is poorly understood. This study explores the 2D distribution pattern of Ki67+ cells in primary OC tissues and models the proliferation process to improve our understanding of this hallmark of cancer. METHODS: A total of 100 tissue cores, included in a tissue microarray (TMA) representing 5 clear cell carcinomas, 62 serous carcinomas, 10 mucinous adenocarcinomas, 3 endometrioid adenocarcinomas, 10 lymph node metastases from OC, and 10 samples of adjacent normal ovary tissue, were stained using a standardized immunohistochemical protocol. The computer-aided image analysis system assessed the 2D distribution pattern of Ki67+ proliferating cells, providing the cell number and density, patterns of randomness, and cell-to-cell closeness. Three computer models were created to simulate behavior and responses, aiming to gain insights into the variations in the proliferation process. RESULTS: Significant differences in Ki67+ cell density were found between low- and high-grade serous carcinoma/mucinous adenocarcinomas (p = 0.003 and p = 0.01, respectively). The Nearest Neighbor Index of Ki67+ cells differed significantly between high-grade serous carcinomas and endometrioid adenocarcinomas (p = 0.01), indicating distinct 2D Ki67+ distribution patterns. Proxemics analysis revealed significant differences in Ki67+ cell-to-cell closeness between low- and high-grade serous carcinomas (p = 0.002). Computer models showed varied effects on the overall organization of Ki67+ cells and the ability to preserve the original 2D distribution pattern when altering the location and/or density of Ki67+ cells. CONCLUSIONS: Cell proliferation is a hallmark of OCs. This study provides new evidence that investigating the Ki67+ cell density and 2D distribution pattern can assist in understanding the proliferation status of OCs. Moreover, our computer models suggest that changes in Ki67+ cell density and their location are critical for maintaining the 2D distribution pattern.

Prostate cancer risk stratification via eNose urine odor analysis: a preliminary report.

Introduction: Prostate cancer (PCa) is known for its highly diverse clinical behavior, ranging from low-risk, slow-growing tumors to aggressive and life-threatening forms. To avoid over-treatment of low-risk PCa patients, it would be very important prior to any therapeutic intervention to appropriately classify subjects based on tumor aggressiveness. Unfortunately, there is currently no reliable test available for this purpose. The aim of the present study was to evaluate the ability of risk stratification of PCa subjects using an electronic nose (eNose) detecting PCa-specific volatile organic compounds (VOCs) in urine samples. Methods: The study involved 120 participants who underwent diagnostic prostate biopsy followed by robot assisted radical prostatectomy (RARP). PCa risk was categorized as low, intermediate, or high based on the D'Amico risk classification and the pathological grade (PG) assessed after RARP. The eNose's ability to categorize subjects for PCa risk stratification was evaluated based on accuracy and recall metrics. Results: The study population comprised 120 participants. When comparing eNose predictions with PG an accuracy of 79.2% (95%CI 70.8 - 86%) was found, while an accuracy of 74.2% (95%CI 65.4 - 81.7%) was found when compared to D'Amico risk classification system. Additionally, if compared low- versus -intermediate-/high-risk PCa, the eNose achieved an accuracy of 87.5% (95%CI 80.2-92.8%) based on PG or 90.8% (95%CI 84.2-95.3%) based on D'Amico risk classification. However, when using low-/-intermediate versus -high-risk PCa for PG, the accuracy was found to be 91.7% (95%CI 85.2-95.9%). Finally, an accuracy of 80.8% (95%CI72.6-87.4%) was found when compared with D'Amico risk classification. Discussion: The findings of this study indicate that eNose may represent a valid alternative not only for early and non-invasive diagnosis of PCa, but also to categorize patients based on tumor aggressiveness. Further studies including a wider sample population will be necessary to confirm the potential clinical impact of this new technology.

Serum pentraxin 3 levels in term neonates with persistent pulmonary hypertension.

BACKGROUND: Persistent pulmonary hypertension of the neonate (PPHN) is a serious disorder. The long pentraxin 3 (PTX3) plays an important role in angiogenesis, cell proliferation, tissue repair and cell regulation. The present study aims to assess the diagnostic and clinical value of PTX3 in PPHN. METHODS: The present case-control 60 full-term neonates diagnosed with PPHN by echocardiography within 72 hours of birth. In addition, there were 30 age and sex-matched healthy neonates who served as controls. All participants were subjected to careful history taking and complete clinical examination, Laboratory investigations included complete blood count, C-reactive protein (CRP), blood culture and PTX3 level. Radiological investigations included plain X- ray and two-dimensional transthoracic echocardiography (TTE). RESULTS: Comparison between patients and controls revealed that patients had significantly higher CRP (6.12±2.18 versus 3.69±1.25 mg/dl, p < 0.001) and PTX3 levels (2.07±0.67 versus 0.96±0.21, p < 0.001) when compared with controls. Patients with associated PDA had significantly higher PTX3 levels when compared with patients without (2.58±0.5 versus 2.02±0.51 ng/ml, p = 0.002). Also, patients with associated PFO had significantly higher PTX3 levels when compared with patients without (2.12±1.05 versus 2.05±0.46, p = 0.002). ROC curve analysis identified good performance of CRP and PTX3 levels in diagnosis of PPHN with PTX3 showing better performance. CONCLUSIONS: There is a significant association between serum PTX3 levels and PPHN particularly those with associated PDA or PFO.

Morpho-anatomical characterization and DNA barcoding of Artemesia vulgaris L.

Artemisia vulgaris L. belongs to Asteraceae, is a herbal plant that has various benefits in the medical field, so that its use in the medical field can be explored optimally, the plant must be thoroughly identified. This study aims to identify A. vulgaris both in terms of descriptive morpho-anatomy and DNA barcoding using BLAST and phylogenetic tree reconstruction. The morpho-anatomical character was observed on root, stem, and leaf. DNA barcoding analysis was carried out through amplification and alignment of the rbcL and matK genes. All studies were conducted on three samples from Taman Husada (Medicinal Plant Garden) Graha Famili Surabaya, Indonesia. The anatomical slide was prepared by the paraffin method. Morphological studies revealed that the leaves of A. vulgaris both on the lower-middle part and on the upper part of the stem have differences, especially in the character of the stipules, petioles, and incisions they have. Meanwhile, from the study of anatomy, A. vulgaris has an anomocytic type of stomata and its distribution is mostly on the ventral part of the leaves. Through the BLAST process and phylogenetic tree reconstruction, the plant sequences being studied are closely related to several species of the genus Artemisia as indicated by a percentage identity above 98% and branch proximity between taxa in the reconstructed phylogenetic tree.

Synthesis of novel Cu/Fe based benzene Dicarboxylate (BDC) metal organic frameworks and investigations into their optical and electrochemical properties.

In the recent past Metal-organic frameworks (MOFs) based thin films have demonstrated superior performance in various technological applications such as optical and optoelectronic devices, electrochemical energy storage, catalysis, and sensing. Herein we report tuning the optical performance of stable complexes using Cu and Fe metal ions with carboxylate benzene dicarboxylic (BDC), leading toward the formation of novel MOF structures. The formation of Cu-BDC and Fe-BDC were confirmed by XRD and SEM studies. The thermal stability of two MOFs was investigated, indicating that, the Cu-BDC is more stable than Fe-BDC. Further, the optical properties were investigated in the wavelength range 325-1100 nm, and the Fe-BDC exhibited greater optical transmission properties than Cu-BDC by 33 %, as investigated by Wemple-DiDomenico and Tauc models. The dispersion parameters related to optical studies for Cu-BDC were better in comparison to Fe-BDC, which could be attributed to the increase in Cu valence electrons due to an increase in the number of cations. The electrochemical behavior in terms of CV measurements shows the presence of pseudo capacitance in both Fe-BDC and Cu-BDC MOFs. The improved CV performance of Cu-BDC MOF suggests that it could be used as a storage material. This work successfully demonstrates the tailoring of optical properties related to MOF thin films through the formation of stable complexes using BDC as a potential material for the fabrication of OLED's and Solar cells. The improved CV performance suggests that these MOF based materials could be used as anodes in fabrication of batteries or supercapacitors.

MARVEL analysis of high-resolution rovibrational spectra of 13 C 16 O 2 .

A set of empirical rovibrational energy levels, obtained through the MARVEL (measured active rotational-vibrational energy levels) procedure, is presented for the 13 C 16 O 2 isotopologue of carbon dioxide. This procedure begins with the collection and analysis of experimental rovibrational transitions from the literature, allowing for a comprehensive review of the literature on the high-resolution spectroscopy of 13 C 16 O 2 , which is also presented. A total of 60 sources out of more than 750 checked provided 14,101 uniquely measured and assigned rovibrational transitions in the wavenumber range of 579-13,735 cm - 1 . This is followed by a weighted least-squares refinement yielding the energy levels of the states involved in the measured transitions. Altogether 6318 empirical rovibrational energies have been determined for 13 C 16 O 2 . Finally, estimates have been given for the uncertainties of the empirical energies, based on the experimental uncertainties of the transitions. The detailed analysis of the lines and the spectroscopic network built from them, as well as the uncertainty estimates, all serve to pinpoint possible errors in the experimental data, such as typos, misassignment of quantum numbers, and misidentifications. Errors found in the literature data were corrected before including them in the final MARVEL dataset and analysis.

Is Artificial Intelligence the Key to Revolutionizing Benign Prostatic Hyperplasia Diagnosis and Management?

Benign prostatic hyperplasia (BPH) is a prevalent condition among older men that is characterized by the enlargement of the prostate gland and compression of the urethra, which often results in lower urinary tract symptoms, such as frequent urination, difficulty in starting urination, and incomplete bladder emptying. The development of BPH is thought to be primarily due to an imbalance between cell proliferation and apoptosis, underlying inflammation, epithelial-to-mesenchymal transition, and local paracrine and autocrine growth factors, although the exact molecular mechanisms are not yet fully understood. Anatomical structures considered natural and benign observations can occasionally present multi-parametric magnetic resonance imaging appearances that resemble prostate cancer (PCa), posing a risk of misinterpretation and generating false-positive outcomes and subsequently, unnecessary interventions. To aid in the diagnosis of BPH, distinguish it from PCa, and assist with treatment and outcome prediction, various Artificial Intelligence (AI)-based algorithms have been proposed to assist clinicians in the medical practice. Here, we explore the results of these new technological advances and discuss their potential to enhance clinicians' cognitive abilities and expertise. There is no doubt that AI holds extensive medical potential, but the cornerstone for secure, efficient, and ethical integration into diverse medical fields still remains well-structured clinical trials.

CuO nanoparticles mixed with activated BC extracted from algae as promising material for supercapacitor electrodes.

The present analysis aims to use existing resources to lower the cost of electrodes and reduce environmental pollution by utilizing waste materials like green algae. In the present research, the hydrothermal carbonization technique was utilized to synthesize a nano sized CuO mixed with activated biochar (CuO@BC) extracted from red sea algae (Chlorophyta). The CuO@BC sample was extensively examined using several advanced physical techniques, such as UV/Visible spectroscopy, FTIR, XED, HRTEM, SEM, EDX, BET, and TGA. The HRTEM indicated that the size of the particles is 32 nm with a larger surface area and without aggregations. The BET analysis of CuO@BC indicates that the material contains pores of a relatively large size and with a pore diameter of about 42.56 A°. The electrochemical analysis of CuO@BC modified glassy carbon electrode CuO@BC/GCE has been investigated using CV, GCD, and EIS techniques. This CuO@BC/GCE shows excellent electrochemical features that are significant for energy storage applications. The CuO@BC/GCE showed a specific capacitance of approximately 353 Fg-1 which is higher compared to individual materials. Overall, the research outcomes suggest that the CuO@BC/GCE shows potential for use in high-performance supercapacitors as energy storage systems that are eco-friendly and sustainable.

Is Artificial Intelligence the Key to Revolutionizing Benign Prostatic Hyperplasia Diagnosis and Management?

Benign prostatic hyperplasia (BPH) is a prevalent condition among older men that is characterized by the enlargement of the prostate gland and compression of the urethra, which often results in lower urinary tract symptoms, such as frequent urination, difficulty in starting urination, and incomplete bladder emptying. The development of BPH is thought to be primarily due to an imbalance between cell proliferation and apoptosis, underlying inflammation, epithelial-to-mesenchymal transition, and local paracrine and autocrine growth factors, although the exact molecular mechanisms are not yet fully understood. Anatomical structures considered natural and benign observations can occasionally present multi-parametric magnetic resonance imaging appearances that resemble prostate cancer (PCa), posing a risk of misinterpretation and generating false-positive outcomes and subsequently, unnecessary interventions. To aid in the diagnosis of BPH, distinguish it from PCa, and assist with treatment and outcome prediction, various Artificial Intelligence (AI)-based algorithms have been proposed to assist clinicians in the medical practice. Here, we explore the results of these new technological advances and discuss their potential to enhance clinicians’ cognitive abilities and expertise. There is no doubt that AI holds extensive medical potential, but the cornerstone for secure, efficient, and ethical integration into diverse medical fields still remains well-structured clinical trials (AU)

Prostate Cancer Microvascular Routes: Exploration and Measurement Strategies.

Angiogenesis is acknowledged as a pivotal feature in the pathology of human cancer. Despite the absence of universally accepted markers for gauging the comprehensive angiogenic activity in prostate cancer (PCa) that could steer the formulation of focused anti-angiogenic treatments, the scrutiny of diverse facets of tumoral blood vessel development may furnish significant understanding of angiogenic processes. Malignant neoplasms, encompassing PCa, deploy a myriad of strategies to secure an adequate blood supply. These modalities range from sprouting angiogenesis and vasculogenesis to intussusceptive angiogenesis, vascular co-option, the formation of mosaic vessels, vasculogenic mimicry, the conversion of cancer stem-like cells into tumor endothelial cells, and vascular pruning. Here we provide a thorough review of these angiogenic mechanisms as they relate to PCa, discuss their prospective relevance for predictive and prognostic evaluations, and outline the prevailing obstacles in quantitatively evaluating neovascularization via histopathological examinations.

Bereavement issues and prolonged grief disorder: A global perspective.

The death of a loved one - bereavement - is a universal experience that marks the human mental health condition. Grief - the cognitive, emotional, and behavioral responses to bereavement - is thus experienced by virtually everyone at some point in life, while mourning is a process through which grievers come to terms with the loss envisioning life without the deceased. Although distress subsides over time among most bereaved individuals, a minority will develop a condition recently identified as prolonged grief disorder (PGD). The present review provides a global perspective on bereavement, grief reactions, and PGD. Although the loss of a loved one and grief reactions are in general experienced consistently across different cultures, differences and variations in their expression may exist across cultures. Especially within specific populations that may be more at risk for PGD, possibly due to risk factors associated with the mechanisms of loss (e.g., refugees, migrants, and conflict survivors). The diagnostic criteria for PGD are mostly based on Western grieving populations, and cultural adaptations of PGD treatments are limited. Therefore, cross-cultural development and validation of PGD screening/assessment is critical to support future research on grief reactions and PGD, especially in non-Western contexts, and concerning the potential future global changes and challenges that appear to have a major impact on PGD. More transcultural research on PGD is needed to contextualize and will lead to culture-bound symptom identification of PGD, and the adaptation of current treatment protocols, which may ultimately improve health at the individual level, and health-care systems.