Miracle-dz/UniFAR-FTUs huggingface dataset:
A Multi-Task Convolutional Neural Network for Lesion Region Segmentation and Classification of Non-Small Cell Lung Carcinoma

Targeted therapy is an effective treatment for non-small cell lung cancer. Before treatment, pathologists need to confirm tumor morphology and type, which is time-consuming and highly repetitive. In this study, we propose a multi-task deep learning model based on a convolutional neural network for joint cancer lesion region segmentation and histological subtype classification, using magnified pathological tissue images. Firstly, we constructed a shared feature extraction channel to extract abstract information of visual space for joint segmentation and classification learning. Then, the weighted losses of segmentation and classification tasks were tuned to balance the computing bias of the multi-task model. We evaluated our model on a private in-house dataset of pathological tissue images collected from Qilu Hospital of Shandong University. The proposed approach achieved Dice similarity coefficients of 93.5% and 89.0% for segmenting squamous cell carcinoma (SCC) and adenocarcinoma (AD) specimens, respectively. In addition, the proposed method achieved an accuracy of 97.8% in classifying SCC vs. normal tissue and an accuracy of 100% in classifying AD vs. normal tissue. The experimental results demonstrated that our method outperforms other state-of-the-art methods and shows promising performance for both lesion region segmentation and subtype classification.
The Impact of Abnormal Audit Fees on Audit Quality: A Study of ASEAN Countries

This study investigates the impact of abnormal audit fees on audit quality. An abnormal audit fee is the difference between the actual fee paid by the auditee to the external auditor and the normal fee. If the actual audit fee is above the normal audit fee, it is called a positive abnormal audit fee (premium) and if the actual audit fee is below the normal audit fee, it is called a negative abnormal audit fee (discount). The samples for this study were 3,694 selected companies from Indonesia, Malaysia, Singapore, the Philippines, and Thailand. Data were analyzed using regression analysis and it was found that positive abnormal audit fees could decrease the audit quality. This is because of the economic arrangement between the auditors and the clients as the auditor will be more tolerant towards the earnings management carried out by the client. On the other hand, negative abnormal audit fees have an insignificant relationship with the audit quality, which means if auditors are paid below the normal fees, they have no incentive to compromise the audit quality. Because audit fees can affect audit quality, regulators need to make policies so that audit fees paid to the external auditors should not be more than the normal fees. Keywords: audit quality, audit fees, negative abnormal audit fees, positive abnormal audit fees, abnormal working capital accruals
Estimation of population parameters and fishery status of spotted scat, Scatophagus argus (Scatophagidae) in Pabean Bay, Indramayu, West Java, Indonesia

Abstract. Manangkalangi E, Pertami ND, Asriansyah A, Aditriawan RM, Sala R, Rahardjo MF. 2022. Estimation of population parameters and fishery status of spotted scat, Scatophagus argus (Scatophagidae) in Pabean Bay, Indramayu, West Java, Indonesia. Biodiversitas 23: 3480-3487. Pabean Bay is a fishing ground for various types of estuarine fish, including spotted scat, Scatophagus argus. This study aims to describe this type of fish population and its level of exploitation by using length-frequency distribution data for one year (January to December 2015). Fish samples were obtained from the catch of fishers using sero fishing gear and gill nets. Analysis of first caught size, growth parameters, mortality, recruitment pattern, and fishery status used FiSAT II program and some empirical formulas. The results of this study indicate that the length of the first time caught (Lc) is 100.195 mm and is smaller than the size of the first maturity (Lm). The asymptotic length (L? ) and growth coefficient (K) were 191.65 mm and 0.18 year-1. Recruitment took place throughout the year with a peak in two periods (February-March and August-September). Total mortality, natural mortality, and catch mortality were 0.84 year-1, 0.37 year-1, and 0.47 year-1.The exploitation rate (E) of this fish was 0.56 year-1. The condition of this fish resource showed slow growth and was indicated to experience overfishing conditions. This information is expected to be considered, especially the use of sero and gillnet fishing gears with small mesh sizes and the frequency of catching it so that the fishing activities will not negatively impact the sustainability of this fish resource in the area.
Influence of Competence and Motivation, on Job Satisfaction and Employee Performance at Makassar Bhayangkara Hospital

: The purpose of this study is to analyze and determine the effect of competence on performance through job satisfaction and to determine the effect of motivation on performance through employee job satisfaction at BhayangkaraMakassar Hospital. Respondents in this study were 300 employees and the method of analysis used to determine the effect of variables is a structural model with the Partial Least Square (PLS) approach.The results showed that competence had an indirect effect on performance through employee job satisfaction of 11.2% and motivation had an indirect effect on performance through employee job satisfaction of 26.4%. There is a need to increase competence in terms of knowledge, ability and skills to be able to improve quality services that are of a national standard and to provide fair and just remuneration in accordance with the work performed. So that it will increase employee commitment and motivation. ---------------------------------------------------------------------------------------------------------------------------------------Date
A Study to Assess the Effectiveness of Structured Teaching Programme on Knowledge and Attitude Regarding Childhood Behaviour Disorder Autism Among Mothers Child with Autism of Selected Developmental Centres of Agartala, Tripura, India

Background: Mothers are the primary care giver. Always mothers are predicted to be more stressed by the severity of childhood behavior disorder autism which is characterized by persistent and pervasive impairments in social communication and presence of restricted or repetitive behaviors. Mother’s knowledge regarding behavior disorder of poor adaptive functioning and how to manage their child may not know to them. Even though it is not clear that mothers child with autism how much knowledgeable about childhood behavior disorder autism and the state of their attitude toward their child. In this study tries to assess the knowledge and attitude of mothers regarding childhood behavior disorder autism who are seeking treatment and management of behavior disorder autism in Tripura Medical College and B.R. A.M Teaching Hospital, Agartala, Tripura, India and also in Vidya Welfare Spciety , Agartala , Tripura, India.
You Are What You Eat and So Is Our Planet: Identifying Dietary Groups Based on Personality and Environmentalism

Behavioral change interventions promoting the reduction of animal product consumption are valuable tools to improve ecological sustainability as well as public health and help the mitigation of climate change. Recent findings revealed improved efficacy of interventions targeted at barriers (e.g., self-efficacy) of three different types of meat consumers over non-targeted interventions (e.g., completion of unrelated surveys). However, such interventions have yet to factor in the role of individual differences in personality. Therefore, in a first step, we performed segmentation analysis on barriers and benefits of reducing animal product consumption (e.g., meat attachment, environmentalism) with the inclusion of personality. In an online sample of N=1135 participants, latent profile analysis revealed five distinct dietary groups: “plant-based eaters”, “meat-reducers”, “medium-hindrance meat eaters”, “medium strong-hindrance meat eaters, and “strong-hindrance meat eaters”, based on inhibitors and facilitators of meat reduction. Groups differed in terms of consumption of different animal products (η2=0.08 to η2=0.80) as well as the Big Five (η2=0.08 to η2=0.80) and Dark Triad (η2=0.08 to η2=0.80). Strong-hindrance meat eaters were characterized by low Conscientiousness, Agreeableness, and Openness as well as high dark trait expression, implying new targets for future intervention design.
Targeted laser photocoagulation of larger capillary aneurysms with rim in diabetic macular edema

This is a retrospective series of five eyes of four cases with diabetic macular edema (DME) secondary to large capillary aneurysms. Larger capillary aneurysms were identified noninvasively based on the presence of white rim in color photograph. On optical coherence tomography (OCT), the larger capillary aneurysms were seen as vertically oval structures with heterogeneous lumen and hyperreflective margin. Two of the four eyes were treated with intravitreal therapy with poor response before considering laser photocoagulation. In one eye, laser photocoagulation was considered as primary therapy in view of the poor response to intravitreal therapy in the fellow eye. In one eye, intravitreal steroid with prompt laser was considered. In one eye, laser was considered as primary therapy. Complete obliteration of the capillary lumen was noted on OCT in all the five eyes after laser photocoagulation. Complete resolution of macular edema was noted in all the five eyes with no recurrence over a follow-up period of 4–18 months. DME secondary to larger capillary aneurysms responds well to targeted laser photocoagulation. These larger capillary aneurysms can be identified on clinical examination and color photograph by the presence of white rim and can be confirmed on OCT.
How Executive Functions Correlate with Intelligence in Children and Adolescents in Autism Spectrum Disorders

ABSTACT Dysexecutive syndrome has been consistently reported in children and adolescents with autism spectrum disorders (ASD). Particularly, impairments have been documented in working memory, inhibition, and mental flexibility. However, the relationship between executive impairments and intellectual functioning is far from clear in this population. This study aimed to investigate how executive functions (EF) are associated with intelligence in ASD. Children and adolescents with ASD (N = 69) were compared to typically developing (TD) individuals (N = 68), matched in chronological age and sex. The Wechsler Intelligence Scales were used to assess participants’ intelligence quotient (estimated IQ). EF – working memory, shifting, and inhibition – were assessed using the Digit Span, Wisconsin Card Sorting Test and Stroop Test, respectively. TD individuals outperformed ASD in all cognitive assessment measures. Correlation analysis showed that while for the ASD group intelligence was associated with shifting abilities, in the TD group the association was observed for working memory measures. Linear regression analysis supported that the association between intelligence and EF domains differed between groups, particularly regarding shifting abilities (interaction term significant), whereas working memory showed a similar trend in both groups (difference in effect size is non-significant). Results suggest that specific executive function domains are associated with ASD intellectual functioning and differ from TD individuals, which may be related to adaptive behavior outcomes.
High Bio-Content Thermoplastic Polyurethanes from Azelaic Acid

To realize the commercialization of sustainable materials, new polymers must be generated and systematically evaluated for material characteristics and end-of-life treatment. Polyester polyols made from renewable monomers have found limited adoption in thermoplastic polyurethane (TPU) applications, and their broad adoption in manufacturing may be possible with a more detailed understanding of their structure and properties. To this end, we prepared a series of bio-based crystalline and amorphous polyester polyols utilizing azelaic acid and varying branched or non-branched diols. The prepared polyols showed viscosities in the range of 504–781 cP at 70 °C, with resulting TPUs that displayed excellent thermal and mechanical properties. TPUs prepared from crystalline azelate polyester polyol exhibited excellent mechanical properties compared to TPUs prepared from amorphous polyols. These were used to demonstrate prototype products, such as watch bands and cup-shaped forms. Importantly, the prepared TPUs had up to 85% bio-carbon content. Studies such as these will be important for the development of renewable materials that display mechanical properties suitable for commercially viable, sustainable products.
Correlation of ApoE Gene Polymorphism with Coronary Heart Disease Severity in Patients with Acute Coronary Syndrome Who Receive Statin Therapy, Padang, Indonesia

Coronary Heart Disease (CHD) is still the most common cause of death. Ischemic heart disease causes more than 7 million (12.8%) deaths worldwide. It is estimated that 3,750,000 Indonesians have CHD. CHD is a disease with many risk factors. ApoE gene polymorphism is associated with atherosclerosis and plays a role in lipid metabolism, which is 2-16% affecting variability in LDL levels. This study aims to look at the relationship between ApoE gene polymorphism and the severity of coronary heart disease. Data regarding ApoE gene polymorphism was obtained using polymerase chain reaction (PCR). DNA was isolated from white blood cells using DNA purification kit. ApoE2, ApoE3, ApoE4 alleles were detected by DNA sequencing. Data on the severity of coronary heart disease were obtained from angiography and were calculated based on SYNTAX scores. In this study, ApoE was obtained with e2 allele frequencies (4.63%), e3 (78.70%), and e4 (16.67%) with E2 / 2 (0%), E2 / 3 (3.70%), E2 / 4 (5.56%), E3 / 3 (64.81%), E3 / 4 (24.07%), and E4 / 4 (1.85%). The relationship between the SYNTAX score and the ApoE genotype has no significant difference. ApoE3 / 4 genotype has the highest SYNTAX score and the e4 allele has the most influence on CHD despite the influence of statin therapy.
A Machine Learning Approach for Continuous Mining of Nonidentifiable Smartphone Data to Create a Novel Digital Biomarker Detecting Generalized Anxiety Disorder: Prospective Cohort Study

Background Anxiety is one of the leading causes of mental health disability around the world. Currently, a majority of the population who experience anxiety go undiagnosed or untreated. New and innovative ways of diagnosing and monitoring anxiety have emerged using smartphone sensor–based monitoring as a metric for the management of anxiety. This is a novel study as it adds to the field of research through the use of nonidentifiable smartphone usage to help detect and monitor anxiety remotely and in a continuous and passive manner. Objective This study aims to evaluate the accuracy of a novel mental behavioral profiling metric derived from smartphone usage for the identification and tracking of generalized anxiety disorder (GAD). Methods Smartphone data and self-reported 7-item GAD anxiety assessments were collected from 229 participants using an Android operating system smartphone in an observational study over an average of 14 days (SD 29.8). A total of 34 features were mined to be constructed as a potential digital phenotyping marker from continuous smartphone usage data. We further analyzed the correlation of these digital behavioral markers against each item of the 7-item Generalized Anxiety Disorder Scale (GAD-7) and its influence on the predictions of machine learning algorithms. Results A total of 229 participants were recruited in this study who had completed the GAD-7 assessment and had at least one set of passive digital data collected within a 24-hour period. The mean GAD-7 score was 11.8 (SD 5.7). Regression modeling was tested against classification modeling and the highest prediction accuracy was achieved from a binary XGBoost classification model (precision of 73%-81%; recall of 68%-87%; F1-score of 71%-79%; accuracy of 76%; area under the curve of 80%). Nonparametric permutation testing with Pearson correlation results indicated that the proposed metric (Mental Health Similarity Score [MHSS]) had a colinear relationship between GAD-7 Items 1, 3 and 7. Conclusions The proposed MHSS metric demonstrates the feasibility of using passively collected nonintrusive smartphone data and machine learning–based data mining techniques to track an individuals’ daily anxiety levels with a 76% accuracy that directly relates to the GAD-7 scale.
Menstruation and Sex Hormones in Covid-19: Effects in Women of Child-Bearing Age

Numerous studies have examined the effects of the COVID-19 pandemic on women’s mental health and menstrual cycles. However, most of these studies only included outpatients with COVID-19, whereas information on hospitalised women is minimal. ACE 2 is essential for the SAR-CoV2 virus to enter human cells and the human ovary. Since it stimulates steroid secretion, aids in follicle development and oocyte growth, influences ovulation, and maintains the corpus luteum, it stimulates steroid secretion and aids in follicle development and oocyte growth. Hospitalised female COVID-19 patients exhibit menstrual changes and heightened symptoms of mental health disorders. Length of isolation was the most influential factor in overall menstrual changes and mental health in female COVID-19 hospitalised patients. Infection with COVID-19 may affect the menstrual cycle in females. Further prospective research is required to confirm these findings and determine the duration of these menstrual irregularities.
Supply Chain Optimization Strategy Research Based on Deep Learning Algorithm

The ordering and transportation of raw materials are a key process for enterprises to produce and receive receivables, and it is necessary to conduct a targeted study of this process. In order to solve this problem, this paper first collects relevant data and information on the ordering quantity of each enterprise, the inventory of various types of raw materials, the supply quantity of suppliers, the transshipment capacity, and the loss of transporters. After a comprehensive evaluation of enterprises, suppliers, and transporters, we propose a reasonable ordering, supply, and transshipment decision scheme. Specifically, we first use principal component analysis to screen out several important suppliers. Second, we screen out 26 stable suppliers based on the regularity of supply using LSTM and ARIMA models, respectively, and then based on the transportation cost and loss cost minimization objectives, further refine the ordering and forwarding scheme. Finally, we realign our ordering and forwarding schemes according to the transportation cost and warehousing cost minimization objectives. The experimental evaluation structure shows that our model yields the most economical ordering and shipping scheme each week. Moreover, after replacing the objective function, our model can still improve the single-week capacity by 0.79% as well, demonstrating strong robustness and generalization ability.
Antibiotics in Dairy Production: Where Is the Problem?

Antibiotics have long been used for the prevention and treatment of common diseases and for prophylactic purposes in dairy animals. However, in recent decades it has become a matter of concern due to the widespread belief that there has been an abuse or misuse of these drugs in animals and that this misuse has led to the presence of residues in derived foods, such as milk and dairy products. Therefore, this review aims to compile the scientific literature published to date on the presence of antibiotic residues in these products worldwide. The focus is on the reasons that lead to their presence in food, on the potential problems caused by residues in the characteristics of dairy products and in their manufacturing process, on the development and spread of antibiotic-resistant bacteria, and on the effects that both residues and resistant bacteria can cause on human and environmental health.
String Embeddings of the Pentagon

The Pentagon Model is an explicit supersymmetric extension of the Standard Model, which involves a new strongly-interacting SU(5) gauge theory at TeV-scale energies. We discuss embeddings of the Pentagon Model into string theory, specifically N=1 supersymmetric type IIa intersecting D-brane models, M-theory compactifications of G_2 holonomy, and heterotic orbifold constructions.
On the Translation Topology of Confucian Words in C-E dictionary: Structural Comparison and Feature Analysis

Confucian words in C-E dictionaries are significant for language learning and cross-cultural communication, and comparative lexicographical study is beneficial for the analysis of different bilingual dictionaries and especially helpful for the improvement of C-E dictionary compilation. The Feature of Topology in Bilingual dictionary (including topological equivalence, point-set topological hierarchical structure) provides theoretical framework for the present study. After stratified sampling and statistical analysis, the paper conducts comparative research on the translation structure and transformation pattern between Confucian words and Biblical words from translation topology. The research includes descriptive analysis, independent t-test and feature analysis. The findings indicate that the translation topology of Confucian words in C-E dictionaries is featured with simplification and discreetness, compared with Biblical words. Confucian words and Biblical words are heterogenic in distribution, assemblage, relevance and transformation strategy, concerning topological point, set and field, which in turn affects the appearance and reordering of initial event. The reasons are as follows: the difference of compilation principle and the over-dependence on the monolingual dictionary differentiate the language variables, leading to the structural difference in Confucian words of topological transformation. The paucity of parallel corpus changes the structure density of cultural topology set, and forms different transformation pattern and representation validity of culture-bound words.
CSR Communication of PT. Astra International, Tbk Through Digital Storytelling

This study explores the storytelling method used in the corporate social responsibility reporting process by PT. Astra International, Tbk. Based on the research results, it can be identified that a number of storytelling formats, including photos and images, video clips, messages, and cameo case studies, used by companies offer some reflection on their approach to storytelling. While stories used by select retailers often have a strong human impact and can evoke emotion, the authors argue that stories can impact human emotion. Keywords: CSR, storytelling
Turing's algorithmic lens: from computability to complexity theory

The decidability question, i.e., whether any mathematical statement could be computationally proven true or false, was raised by Hilbert and remained open until Turing answered it in the negative. Then, most efforts in theoretical computer science turned to complexity theory and the need to classify decidable problems according to their difficulty. Among others, the classes P (problems solvable in polynomial time) and NP (problems solvable in non-deterministic polynomial time) were defined, and one of the most challenging scientific quests of our days arose: whether P = NP. This still open question has implications not only in computer science, mathematics and physics, but also in biology, sociology and economics, and it can be seen as a direct consequence of Turing’s way of looking through the algorithmic lens at different disciplines to discover how pervasive computation is.