Attention module incorporated transfer learning empowered deep learning-based models for classification of phenotypically similar tropical cattle breeds (Bos indicus).

Accurate breed identification in dairy cattle is essential for optimizing herd management and improving genetic standards. A smart method for correctly identifying phenotypically similar breeds can empower farmers to enhance herd productivity. A convolutional neural network (CNN) based model was developed for the identification of Sahiwal and Red Sindhi cows. To increase the classification accuracy, first, cows's pixels were segmented from the background using CNN model. Using this segmented image, a masked image was produced by retaining cows' pixels from the original image while eliminating the background. To improve the classification accuracy, models were trained on four different images of each cow: front view, side view, grayscale front view, and grayscale side view. The masked images of these views were fed to the multi-input CNN model which predicts the class of input images. The segmentation model achieved intersection-over-union (IoU) and F1-score values of 81.75% and 85.26%, respectively with an inference time of 296 ms. For the classification task, multiple variants of MobileNet and EfficientNet models were used as the backbone along with pre-trained weights. The MobileNet model achieved 80.0% accuracy for both breeds, while MobileNetV2 and MobileNetV3 reached 82.0% accuracy. CNN models with EfficientNet as backbones outperformed MobileNet models, with accuracy ranging from 84.0% to 86.0%. The F1-scores for these models were found to be above 83.0%, indicating effective breed classification with fewer false positives and negatives. Thus, the present study demonstrates that deep learning models can be used effectively to identify phenotypically similar-looking cattle breeds. To accurately identify zebu breeds, this study will reduce the dependence of farmers on experts.

[A preliminary study on the characteristics of refractive parameters and retinal blood flow in dominant eyes].

Objective: To explore the characteristics of refractive parameters and retinal and choroidal blood flow in dominant and non-dominant eyes. Methods: A cross-sectional study. Students who were 18 to 32 years old and had emmetropia or myopia but no systemic diseases were recruited from universities in Wuhu, Anhui Province from April 2019 to August 2023. They were divided into 4 groups based on the difference in spherical equivalent between two eyes:<0.50 D (group A), 0.50 to 1.74 D (group B), 1.75 to 2.49 D (group C), and≥2.50 D (group D). The card hole method was used to determine the dominant eye. The refractive parameters of both eyes were recorded, including spherical equivalent, myopia degree, astigmatism degree, axial length, and corneal curvature difference (K2-K1). Optical coherence tomography angiography was performed to measure the blood flow density of the superficial retinal capillaries, deep retinal capillaries (DVC), avascular layer (AC), entire retina, choroidal capillaries, and choroidal vessels, as well as the retina and choroid as a whole. Statistical analysis was conducted using the paired sample t-test, chi square test, and variance analysis. Results: A total of 78 eligible subjects, aged (24.50±2.36) years old, 28 males and 50 females, were included. Fifty subjects had the right eye and 28 had the left eye as the dominant eye. Forty-two subjects had high myopia in the dominant eye, and 30 had high myopia in the non-dominant eye. There were statistically significant differences (all P<0.05) in the spherical equivalent [(-4.588±2.534) D vs. (-4.058±2.453) D], myopic spherical power [(-4.253±2.504) D vs. (-3.779±2.425) D], and axial length [(25.531±1.212) mm vs. (25.256±1.238) mm] between dominant and non-dominant eyes among all subjects, as well as in the astigmatism degree of groups A and C, spherical power of groups B to D, and spherical power and axial length of groups C and D. There were also statistically significant differences (all P<0.05) in the blood flow density of the DVC [(0.291±0.130) vs. (0.257±0.148)], AC [(0.347±0.118) vs. (0.326±0.126)], and overall retina and choroid [(0.385±0.102) vs. (0.349±0.084)] between dominant and non-dominant eyes among all subjects, as well as in the blood flow density of the superficial retinal capillaries, DVC, AC, choroidal capillaries, and overall retina and choroid of groups C and D, density of the choroidal vessels of group C, and density of the entire retina of group D. Conclusions: In young individuals with emmetropia or near vision, the degree of myopia in dominant eyes is higher than that in non-dominant eyes. When the difference in the spherical equivalent between two eyes is ≥1.75 D, the blood flow density of the retina and choroid in the dominant eye is greater than that in the non-dominant eye.

Factor analysis of the Chinese version of the Autism Spectrum Quotient 10 and its association with schizotypal traits in adolescents and young adults in Hong Kong.

BACKGROUND: There is evidence suggesting that autistic traits are associated with schizotypal traits. This study examined the factor structure of the Autism Spectrum Quotient 10 (AQ-10) and its associations with schizotypal traits (measured by the Schizotypal Personality Questionnaire-Brief [SPQ-B]) in a cohort of Chinese adolescents and young adults. METHODS: Invitation letters, stratified by locations and housing types, were randomly sent to individuals aged 15 to 24 years for participation. Assessments were made using face-to-face or online interviews. Autistic traits were assessed using the Chinese version of the AQ-10. Schizotypal personality traits were assessed using the Chinese version of the 22-item SPQ-B. RESULTS: In total, 395 male and 536 female participants (mean age, 19.93 years) were recruited between July 2020 and May 2021. Exploratory factor analysis of the AQ-10 yielded three factors (theory of mind, task switching, and attention deficits) explaining 55.11% of the total variance. Autistic traits were positively correlated with schizotypal traits of disorganised features (r = 0.21, p < 0.001), interpersonal relationship deficits (r = 0.19, p < 0.001), and cognitive-perceptual deficits (r = 0.11, p = 0.001). CONCLUSION: In Chinese adolescents and young adults, autistic traits, especially task switching and attention deficits (compared with theory of mind) are more closely correlated with schizotypal personality traits. Disentangling the overlapping and diametrical structure of autistic traits and schizotypal traits may help understand their aetiologies, assessment, and interventions.

Effects of a Hydrolyzed Lignin Derivative on Bleomycin-Induced Pulmonary Fibrosis in Mice.

Female C57BL/J mice with pulmonary fibrosis induced by injections of bleomycin (20 mg/kg intraperitoneally, 8 times for 4 weeks) were treated with a lignin derivative-based composition BP-C3 (80 mg/kg, daily intragastric administrations for 4 weeks). Bleomycin treatment increased the severity of pulmonary fibrosis (Ashcroft score increased from 1.43±0.20 to 4.17±0.48) and the percentage of α-SMA+ tissue (from 15.22±1.01 to 33.12±2.30%) and DNA-synthetizing nuclei (from 1.05±0.14 to 3.38±0.375). After treatment with BP-C3, we observed a tendency to a decrease in Ashcroft score (to 3.40±0.51) and a significant decrease in the percentage of α-SMA+ tissue to 24.30±1.70%; the percentage of DNA-synthetizing nuclei decreased to a lesser extent (to 3.03±0.22%). These results suggest that BP-C3 has a moderate antifibrotic activity.

Operational classification of cutaneous squamous cell carcinomas based on unsupervised clustering of real cases by experts.

BACKGROUND: There is currently no staging system for cutaneous squamous cell carcinoma (cSCC) that is adapted to decision-making and universally used. Experts have unconscious ability to simplify the heterogeneity of clinical situations into a few relevant groups to drive their therapeutic decisions. Therefore, we have used unsupervised clustering of real cases by experts to generate an operational classification of cSCCs, an approach that was successful for basal cell carcinomas. OBJECTIVE: To generate a consensual and operational classification of cSCCs. METHOD: Unsupervised independent clustering of 248 cases of cSCCs considered difficult-to-treat. Eighteen international experts from different specialties classified these cases into what they considered homogeneous clusters useful for management, each with freedom regarding clustering criteria. Convergences and divergences between clustering were analysed using a similarity matrix, the K-mean approach and the average silhouette method. Mathematical modelling was used to look for the best consensual clustering. The operability of the derived classification was validated on 23 new practitioners. RESULTS: Despite the high heterogeneity of the clinical cases, a mathematical consensus was observed. It was best represented by a partition into five clusters, which appeared a posteriori to describe different clinical scenarios. Applicability of this classification was shown by a good concordance (94%) in the allocation of cases between the new practitioners and the 18 experts. An additional group of easy-to-treat cSCC was included, resulting in a six-group final classification: easy-to-treat/complex to treat due to tumour and/or patient characteristics/multiple/locally advanced/regional disease/visceral metastases. CONCLUSION: Given the methodology based on the convergence of unguided intuitive clustering of cases by experts, this new classification is relevant for clinical practice. It does not compete with staging systems, but they may complement each other, whether the objective is to select the best therapeutic approach in tumour boards or to design homogeneous groups for trials.

Using near-infrared reflectance spectroscopy (NIRS) to predict the nitrogen levels in the stem and root tissues of Brassica juncea (Indian mustard).

Brassica juncea depends heavily on nitrogen (N) fertilizers for growth and accumulation of seed protein. However, it is an inefficient mobilizer of applied N which leads to accumulation of excess N in the soil, posing environmental risks. Hence, it is imperative to systematically examine spatial-temporal pattern of crop N to efficiently manage N application. The Kjeldahl method is commonly used to estimate N status of crops but it is a destructive method that entails the use of perilous and expensive chemicals. Near-infrared reflectance spectroscopy (NIRS) offers a safe, accurate, and non-destructive alternative for large-scale screening of seed metabolites. Currently, no NIRS model exists to quickly estimate N content in shoots and roots from large germplasm sets in any rapeseed-mustard crop. Developing such a model is essential to breed for enhanced nitrogen use efficiency (NUE). We used 738 shoot and 346 root samples from a B. juncea diversity set to construct the NIRS models. A diverse range of genetic variation in N content was recorded in the stem (0.21-6.61%) and root (0.15-3.04%) tissues of the crop raised on two different N levels (N0 and N100). Modified partial least squares (MPLS) method was employed to establish a regression equation linking reference N values with spectral changes. The developed models exhibited strong associations with reference values, with RSQ values of 0.884 for stem and 0.645 for roots. Furthermore, external validation confirms the reliability of the developed models. The developed models have strong predictive capabilities for rapid and reliable N estimation in various tissues of B. juncea plants.

[Vertigo and dizziness in child: a clinical analysis in 120 cases].

Objective: To investigate the disease composition, clinical features, diagnosis, and treatment characteristics of vertigo in children. Methods: A total of 120 children with vertigo diagnosed and treated in the Department of Otorhinolaryngology, Children's Hospital, Capital Institute of Pediatrics in Beijing from February 2018 to February 2022 were retrospectively analyzed to explore the clinical characteristics of common peripheral vertigo in children and to summarize the experience of diagnosis and treatment. Results: The etiological composition of 120 cases of vertigo in children are as follows: 63 (52.5%) cases of vestibular migraine of childhood (VMC), 19 (15.8%) of recurrent vertigo of childhood (RVC), 11 (9.2%) of probable vestibular migraine of childhood (PVMC), 10 (8.3%) of secretory otitis media (SOM), 6 (5.0%) of persistent postural-perceptual dizziness (PPPD), 4 (3.3%) of benign paroxysmal positional vertigo (BPPV), 2 (1.7%) of vestibular neuritis (VN), 2 (1.7%) of Meniere's disease (MD), 2 (1.7%) of inner ear malformation (IEM), and 1 (0.8%) of vestibular paroxysmal syndrome (VP).The major cause of vertigo in children of different ages was different. SOM was the most important cause in preschool children, followed by RVC and VMC; VMC was the most important cause in school-age children, followed by RVC; and MD and BPPV were exclusive found in adolescents. The incidence rate of PPPD was higher in adolescents than in preschool and school-age children. Children with vertigo had good prognosis in general. Conclusions: VMC, RVC and SOM are the most common causes in vertigo in children, and their proportion was different in different aged children. Transforming abstract feelings into specific information is the skill required for collecting medical history of children with vertigo. Considering the age and cooperation of children, appropriate hearing and vestibular examination techniques are recommended. We should pay more attention to the mental health of children with vertigo and their parents.

Clinical boundary conditions for propagation-based X-ray phase contrast imaging: from bio-sample models targeting to clinical applications.

BACKGROUND: Typical propagation-based X-ray phase contrast imaging (PB-PCI) experiments using polyenergetic sources are tested in very ideal conditions: low-energy spectrum (mainly characteristic X-rays), small thickness and homogeneous materials considered weakly absorbing objects, large object-to-detector distance, long exposure times and non-clinical detector. OBJECTIVE: Explore PB-PCI features using boundary conditions imposed by a low power polychromatic X-ray source (X-ray spectrum without characteristic X-rays), thick and heterogenous materials and a small area imaging detector with high low-detection radiation threshold, elements commonly found in a clinical scenario. METHODS: A PB-PCI setup implemented using a microfocus X-ray source and a dental imaging detector was characterized in terms of different spectra and geometric parameters on the acquired images. Test phantoms containing fibers and homogeneous materials with close attenuation characteristics and animal bone and mixed soft tissues (bio-sample models) were analyzed. Contrast to Noise Ratio (CNR), system spatial resolution and Kerma values were obtained for all images. RESULTS: Phase contrast images showed CNR up to 15% higher than conventional contact images. Moreover, it is better seen when large magnifications (>3) and object-to-detector distances (>13 cm) were used. The influence of the spectrum was not appreciable due to the low efficiency of the detector (thin scintillator screen) at high energies. CONCLUSIONS: Despite the clinical boundary condition used in this work, regarding the X-ray spectrum, thick samples, and detection system, it was possible to acquire phase contrast images of biological samples.

[A Group of New Hypermethylated Long Non-Coding RNA Genes Associated with the Development and Progression of Breast Cancer].

Breast cancer is the most common type of cancer among women. The study of the mechanisms of metastasis, the main cause of death from breast cancer, as well as the search for new markers for early diagnosis and prognosis of breast cancer, is an extremely topical issue. New perspectives in the diagnosis and treatment of breast cancer are opened by the mechanisms of gene regulation involving non-coding RNAs, in particular, long non-coding RNAs (lncRNAs). In this work, we analyzed the methylation levels of seven lncRNA genes (MEG3, SEMA3B-AS1, HAND2-AS1, KCNK15-AS1, ZNF667-AS1, MAGI2-AS3, and PLUT) by quantitative methyl-specific PCR on a set of 79 paired (tumor/normal) samples of breast cancer. Hypermethylation of all seven lncRNA genes was revealed, and hypermethylation of HAND2-AS1, KCNK15-AS1, MAGI2-AS3, and PLUT was detected in breast cancer for the first time. It was found that the level of meth ylation of the studied lncRNA genes correlated statistically significantly with the stage of the tumor process, the size of the tumor, and the presence of metastases in the lymph nodes. Thus, methylation of the seven studied lncRNA genes is associated with the development and progression of breast cancer, and these genes can be useful as potential markers in the diagnosis and prognosis of breast cancer.

Functional Assessment of Stable Chronic Obstructive Pulmonary Disease Patients Using Squat-to-stand Test.

Chronic obstructive pulmonary disease (COPD) is a preventable and treatable disease of airflow limitation that is not fully reversible. COPD affects the lungs and produces significant systemic consequences. In Bangladesh, the prevalence of COPD after 40 years of age is 21.24% and the general population is 4.3%. COPD leads to a sedentary life, which reduces the functional status of the individual. Functional status assessment is vital for appropriate therapy and rehabilitation programs in COPD patients. A Sit-to-stand test (STST) has been proposed as a better alternative to 6MWT, but a Squat-to-stand test (SqTST) to test their ability to stand from the squatting position will be more appropriate in rural patients. This study was conducted using a cross-sectional observational design from July 2020 and September 2021 in the Department of Respiratory Medicine at the National Institute of Diseases of the Chest and Hospital, Bangladesh. Sixty (60) diagnosed cases of COPD patients were enrolled in this study. Severities of airflow obstruction according to GOLD were categorized on the basis of post-bronchodilator FEV1 by spirometry. SqTST was performed on all patients, and functional status was recorded. All data were collected using a preformed questionnaire. Statistical analyses of the findings were carried out using SPSS version 23.0. In this study, the majority of 21(35.0%) patients had very severe COPD, and almost half (48.3%) of the patients had abnormal SqTST. A significant relation was found between the severity of COPD with SqTST (p=0.001). Based on the receiver-operator characteristic (ROC) curve, SqTST had an area under curve 0.901. SqTST had 82.1% sensitivity, 85.7% specificity, 83.3% accuracy, 91.4% positive predictive value, and 72.0% negative predictive value to find severe COPD cases in stable COPD patients. ROC was constructed using SqTST, which gave a cut-off value <7.0, with 82.1% sensitivity and 85.7% specificity for predicting severe COPD. From this study, it may be concluded that SqTST is a clinically useful tool to assess the functional status of stable COPD patients.

Demographic Characteristics, Clinical Profile, Outcome and Risk Factors of Covid-19 among Health Care Workers in a COVID Dedicated Hospital.

The extremely contagious global outbreak of the novel Coronavirus disease 2019 (Covid-19) caused by Severe acute respiratory syndrome coronavirus-2(SARS- CoV-2) is causing concern worldwide since its emergence. Healthcare workers (HCWs) are more susceptible for acquiring Covid-19 due to direct or indirect exposure to Covid-19 patients. Therefore, it is important to investigate demographic, clinical characteristics and outcome of affected persons and possible source of infection with exposure details. This study aimed at determining the demographic and clinical profile, outcome and possible risk factors for infection among the HCWs at Kurmitola General Hospital (KGH), Bangladesh. This retrospective observational study was done among the SARS-CoV-2 positive HCWs of Kurmitola General Hospital (KGH) from April 2020 to January 2021. Out of total 1323 HCWs, 180(13.9%) cases were detected Covid-19 positive. Among the infected HCWs, 76(42.2%) were male and 104(57.8%) were female. The mean age was 32.8±6.95 years. Eighty nine (89) were nurses (49.4%) and 67 were physicians (37.2%). Among them, 23(13.0%) had no definite symptoms. Mild symptoms had in 137(76.11%) and 40(22.22%) had moderate symptoms. Most common symptoms were fever 112(62.0%), weakness 108(60.0%), cough 102(57.0%) and myalgia 54(30.0%). Pre-existing comorbidities had 43(24.0%). Bronchial asthma 27(15.0%), HTN 24(13.0%) and DM 21(12.0%) were the most prevalent comorbidities. All completely were recovered ultimately. Fatigue 52(28.89%), shortness of breath 15(8.3%), cough 13(7.2%) were the most common long-term complications. Among them, 53(29.0%) pointed toward lack of maintaining a hygienicatmosphere, as their possible cause of being infected, whereas 37(21.0%) could not identify the cause. Maximum HCWs, 170 cases (94.44%) used PPE during their duty. Adequate training get 26(14.44%) on PPE use and Infection prevention and control (IPC). This study concludes almost 1.4 in 10 HCWs at KGH were infected with SARS-CoV-2 while working in hospital during the Covid-19 pandemic. Affected HCWs have relatively female predominance with younger age, milder symptoms, and less underlying diseases in this study. Fatigue and shortness of breath are most common long-term complications, which hampers their working ability. Most of them did not get any training on PPE use and IPC.

Association between Serum Vitamin D Level and Acute Ischemic Stroke.

Stroke is one of the most common neurological disorder and third most common cause of death in the world. Low vitamin D concentrations have been shown to predict risk of cardiovascular disease and all-cause of mortality. The aim of this study was to estimate serum vitamin D level in acute ischemic stroke patients. This comparative cross-sectional type of study was conducted in the Department of Neurology and Department of Medicine at Mymensingh Medical College and Hospital, Bangladesh from November 2017 to June 2019 with a total number of 100 study subjects. Total fifty patients with acute ischemic stroke were enrolled in Group A and another fifty age and sex matched volunteer subjects were enrolled in Group B with no prior history of stroke or transient ischemic attacks. Serum vitamin D levels, fasting plasma glucose and lipid profile were assessed in both groups and compared with each other. P value <0.05 was considered as significant in the study. Mean fasting blood sugar, serum fasting total cholesterol (TC), serum fasting triglycerides, serum fasting Low density lipoprotein (LDL) were significantly higher in Group A than Group B (p<0.05). Serum vitamin D level in Group A was 25.28±8.47ng/ml and in Group B was 30.90±5.80, (p=0.001). Insufficient vitamin D level was found in 52.0% of ischemic stroke patients and in 30% of healthy controls (p=0.0002). Vitamin D deficiency was found in 20.0% ischemic stroke patients and 10.0% in healthy controls. This study demonstrates a positive association between low serum vitamin D level and acute ischemic stroke. Further studies are required to determine whether vitamin D supplementation could improve functional outcome in patients with ischemic stroke.

Association of Maternal Serum Homocysteine level with Maternal Birth Weight.

A baby's weight at birth is an important predictor of infant growth and survival. Low birth weight leads to an impaired growth of the infant and its attendant risks of a higher mortality and morbidity. Various studies found higher maternal plasma homocysteine level was associated with lower offspring birth weight. Therefore, this study was carried out to find out association between maternal serum homocysteine and birth weight. A cross sectional study was conducted in the Department of Obstetrics and Gynaecology, BSMMU from September 2018 to August 2019. Pregnant women at their third trimester between 37-40 weeks admitted to in patient Department of Obstetrics and Gynaecology, BSMMU were included in this study. Ethical committee clearance was obtained from the institution. After matching eligibility criteria informed written consent were taken from the patients. Data was collected from the patients using the structured design by interview, observation, clinical examination and haematological investigations. The serum homocysteine level of these patients and birth weight of their babies was measured immediately after delivery. Negative correlation was found between maternal serum homocysteine level and neonatal birth weight, (r = -0.419, p<0.05). During regression analysis maternal homocysteine and gestational age was found significant when adjusted with maternal age, parity, maternal BMI and sex of the baby. So, increased maternal serum homocysteine is negatively associated with low birth weight babies.

Iodinated Contrast Induced Parotitis: A Case Report.

Contrast material containing Iodine can cause parotitis. Here we present A 70 year's old man admitted to United Hospital Limited, Gulshan, Dhaka, Bangladesh on 5th May 2021 with the complaints of chest pain and shortness of breath and he was diagnosed as NSTEMI with ALVF. He was Covid 19 positive two weeks back. He underwent PCI to LM to LAD, LCX and RCA two years back. He had hypertension, diabetes mellitus and dyslipidemia. He was taking dual antiplatelet, beta-blocker, ACE inhibitor, statin, diuretic and anti-diabetic medication. His physical examination findings were reasonably normal. An electrocardiogram revealed bi-fascicular block and echocardiogram showed inferior wall and basal segment of inferior-lateral wall were hypokinetic. His high sensitive Troponin I was raised and serum creatinine was normal. This case report contains a case of bilateral parotitis following coronary angioplasty, subsided with conservative management. Possible reasons may be the direct toxicity or idiosyncratic reaction of the iodinated contrast agent.

Increase in methicillin-resistant Staphylococcus spp. colonization among pregnant individuals during COVID-19 pandemic.

Methicillin-resistant Staphylococcus (MRS) has been associated with neonatal infections, with colonization of the anovaginal tract being the main source of vertical transmission. The COVID-19 pandemic has altered the frequency of antibiotic usage, potentially contributing to changes in the dynamics of bacterial agents colonizing humans. Here we determined MRS colonization rates among pregnant individuals attending a single maternity in Rio de Janeiro, Brazil before (January 2019-March 2020) and during (May 2020-March 2021) the COVID-19 pandemic. Anovaginal samples (n = 806 [521 samples before and 285 during the pandemic]) were streaked onto chromogenic media. Colonies were identified by MALDI-TOF MS. Detection of mecA gene and SCCmec typing were assessed by PCR and antimicrobial susceptibility testing was done according to CLSI guidelines. After the onset of the pandemic, MRS colonization rates increased significantly (p < 0.05) from 8.6% (45) to 54.7% (156). Overall, 215 (26.6%) MRS isolates were detected, of which S. haemolyticus was the most prevalent species (MRSH, 84.2%; 181 isolates). SCCmec type V was the most frequent among MRS (63.3%; 136), and 31.6% (68) of MRS strains had a non-typeable SCCmec, due to new combinations of ccr and mecA complexes. Among MRS strains, 41.9% (90) were resistant to at least 3 different classes of antimicrobial agents, and 60% (54) of them were S. haemolyticus harboring SCCmec V. MRS colonization rates and the emergence of multidrug-resistant variants detected in this study indicate the need for continuing surveillance of this important pathogen within maternal and child populations.

Optimization of waveguide fabrication processes in lithium-niobate-on-insulator platform.

Lithium niobate (LN) is used in diverse applications such as spectroscopy, remote sensing, and quantum communications. The emergence of lithium-niobate-on-insulator (LNOI) technology and its commercial accessibility represent significant milestones. This technology aids in harnessing the full potential of LN's properties, such as achieving tight mode confinement and strong overlap with applied electric fields, which has enabled LNOI-based electro-optic modulators to have ultra-broad bandwidths with low-voltage operation and low power consumption. Consequently, LNOI devices are emerging as competitive contenders in the integrated photonics landscape. However, the nanofabrication, particularly LN etching, presents a notable challenge. LN is hard, dense, and chemically inert. It has anisotropic etch behavior and a propensity to produce material redeposition during the reactive-ion plasma etch process. These factors make fabricating low-loss LNOI waveguides (WGs) challenging. Recognizing the pivotal role of addressing these fabrication challenges for obtaining low-loss WGs, our research focuses on a systematic study of various process steps in fabricating LNOI WGs and other photonic structures. In particular, our study involves (i) careful selection of hard mask materials, (ii) optimization of inductively coupled plasma etch parameters, and finally, (iii) determining the optimal post-etch cleaning approach to remove redeposited material on the sidewalls of the etched photonic structures. Using the recipe established, we realized optical WGs with total (propagation and coupling) loss value of -10.5 dB, comparable to established values found in the literature. Our findings broaden our understanding of optimizing fabrication processes for low-loss lithium-niobate waveguides and can serve as an accessible resource in advancing LNOI technology.