Miracle-dz/UniFAR-FTUs huggingface dataset:
FRMD7 Gene Alterations in a Pakistani Family Associated with Congenital Idiopathic Nystagmus

Congenital idiopathic nystagmus (CIN) is an oculomotor disorder characterized by repetitive and rapid involuntary movement of the eye that usually develops in the first six months after birth. Unlike other forms of nystagmus, CIN is widely associated with mutations in the FRMD7 gene. This study involves the molecular genetic analysis of a consanguineous Pakistani family with individuals suffering from CIN to undermine any potential pathogenic mutations. Blood samples were taken from affected and normal individuals of the family. Genomic DNA was extracted using an in-organic method. Whole Exome Sequencing (WES) and analysis were performed to find any mutations in the causative gene. To validate the existence and co-segregation of the FRMD7 gene variant found using WES, sanger sequencing was also carried out using primers that targeted all of the FRMD7 coding exons. Additionally, the pathogenicity of the identified variant was assessed using different bioinformatic tools. The WES results identified a novel nonsense mutation in the FRMD7 (c.443T>A; p. Leu148 *) gene in affected individuals from the Pakistani family, with CIN resulting in a premature termination codon, further resulting in the formation of a destabilized protein structure that was incomplete. Co-segregation analysis revealed that affected males are hemizygous for the mutated allele c.443T>A; p. Leu148 * and the affected mother is heterozygous. Overall, such molecular genetic studies expand our current knowledge of the mutations associated with the FRMD7 gene in Pakistani families with CIN and significantly enhance our understanding of the molecular mechanisms involved in genetic disorders.
Directly Controlling the Transport Properties of All-Nitride Josephson Junctions by N-Vacancy Defects

All-nitride Josephson junctions are being actively explored for applications in superconducting quantum chips because of their unique advantages including their antioxidant chemical stability and high crystal quality. However, the theoretical research on their microstructure mechanism that determines transport properties is still absent, especially on the defects. In this paper, we apply the first principles and non-equilibrium Green’s function to calculate the electrical transport characteristics of the yellow preset model. It is first revealed that the N-vacancy defects play a crucial role in determining the conductivity of the NbN-based Josephson junctions, and demonstrate the importance for the uniformity of vacancy distribution. It is found that the uniform number of vacancies can effectively increase the conductance of Josephson junction, but the position distribution of vacancies has little effect on the conductance. The work clarifies the effect of the N-vacancy defects on the conductivity of the NbN-based Josephson junctions, which offers useful guidance for understanding the microscope mechanism of the NbN-based Josephson junction, thus showing a great prospect in the improvement of the yield of superconducting quantum chips in the future.
Corneal Perforation Associated with Lacrimal Canaliculitis: A Case Series

Purpose To report seven eyes of six patients diagnosed with corneal perforation and lacrimal canaliculitis in a single facility. Methods Clinical records of patients with corneal perforation accompanied by lacrimal canaliculitis seen by the authors were reviewed. Results Six patients (7 eyes) with corneal perforation accompanied by lacrimal canaliculitis were identified. All patients were female, and all were treated with topical antibiotics while five were receiving topical corticosteroids. Two patients had a history of dacryocystitis and three had systemic immune diseases. The corneal lesions did not respond to topical antibiotics but were effectively treated by removal of concretions in the lacrimal canaliculi and lacrimal duct drainage together with conjunctival autograft or corneal transplantation. Conclusion Lacrimal canaliculitis is a risk factor for corneal perforation. When corneal perforation does not respond to antibiotics, lacrimal canaliculitis should be considered.
Transfer Pricing Aggressiveness, Thin Capitalization, Political Connection, Tax Avoidance: Does Corporate Governance Have A Role in Indonesia?

This study investigates the association of transfer pricing aggressiveness, thin capitalization, and political connection with tax avoidance and the corporate governance's role in moderating these associations. The secondary data of this study are data and information obtained from financial reports and annual reports sourced from www.idx. co.id and www.idnfinancials. com. The analysis is conducted on 61 non-financial multinational companies listed on Indonesia Stock Exchange over the 2016-2019 period, chosen by the purposive sampling method resulting in 244 firm-year. Hypothesis testing employs regression analysis with a data panel. The result suggests that transfer pricing aggressiveness and political connection are negatively associated with tax avoidance. In contrast, thin capitalization is positively associated with tax avoidance. However, corporate governance can weaken each of these associations. This study indicates that the Indonesian Tax Authority should consider multinational companies with large interest debt structures on the list of priorities in tax inspection policy. Also, this study shows Indonesian firms are less likely to use political connection and transfer pricing to avoid tax.
Enzymatic Transesterification of Atlantic Salmon (Salmo salar) Oil with Isoamyl Alcohol

In this experimental study, biodiesel was synthesized from the salmon oil using the Lipozyme®RM IM (Bagsværd, Denmark) as a biocatalyst. Isoamyl alcohol was used as an acyl acceptor in the transesterification process. The aim of this study is to select the best process conditions, aiming to obtain the highest transesterification degree that meets the requirements of the EN 14214 standard. Response surface methodology (RSM) was used for statistical analysis and optimization of process parameters. A four-factor experimental design was modelled by central compositional design (CCD) to investigate the effects of biocatalyst concentration, isoamyl alcohol-to-oil molar ratio, temperature, and duration on transesterification degree. It was determined that the optimal parameters for biodiesel synthesis were the following: an enzyme concentration of 11% (wt. of oil mass); a process temperature of 45 °C; a process duration of 4 h; and an alcohol-to-oil molar ratio of 6:1. The transesterification degree of biodiesel reached 87.23%. The stepwise addition of isoamyl alcohol during the transesterification process further increased the degree of transesterification to 96.5%.
Searching for mutual fund winners? the strategy is to outbid both, the benchmark and the peer group

ABSTRACT Standard Fama-French-Carhart models define ‘winners’ as funds that generate the highest excess returns given the factor risks involved; however, they do not provide information on whether such winners are outperforming their prospectus benchmark or their peer group. In addition, existing literature relying on these models, by and large, does not find evidence of persistence in performance. In this paper, we propose a two-stage procedure that allows investors to select ‘true’ winners(losers) which generate the highest factor-risk-adjusted performance relative to the benchmark and the peer group simultaneously. Utilizing both adjustments at the same time results in a strong predictive ability, leading to a selection of funds that persist in performance. Our true winner funds have statistically significant superior benchmark-adjusted alphas, peer group adjusted alphas and Sharpe ratios one year ahead, which are significantly different from those generated by the true loser funds. The results are robust to extended investment horizon, and alpha estimation method, and they are not driven by outliers, size of fund-sorts, or any particular period within our sample.
Preliminary Outcomes of Arthroscopic Biologic Tuberoplasty in the Treatment of Massive Irreparable Rotator Cuff Tears

Introduction: Several treatment options exist for the treatment of massive, irreparable rotator cuff tears. A novel technique has been described whereby an acellular dermal allograft is secured to the greater tuberosity which acts as an interpositional tissue preventing bone-to-bone contact between the greater tuberosity and acromion. The preliminary results of this arthroscopic procedure are being presented. Methods: Patients who underwent a biologic tuberoplasty procedure between 2015 and 2022, by a single surgeon, were included in this study. Pre- and postoperative American Shoulder and Elbow Surgeons (ASES), Single Assessment Numeric Evaluation (SANE), and visual analogue pain scores (VAS) were prospectively recorded and retrospectively reviewed. Postoperative MRI was obtained in some cases. Paired t-test was used to calculate significance set at <0.05. Results: Ten patients met the inclusion criteria. The mean age was 70.4+4.7 years (range 65-78). There were five males. The mean length of follow-up was 21+27 months (range six to 95 months). There was significant improvement in ASES (24.3+4 to 91.5+10.3, P<0.00001), SANE (22.5+10.3 to 88+11.6, P<0.00001), and VAS (8.8+0.6 to 1.1+2.5, P<0.00001). MRI was obtained in seven patients at a mean of 5.3+2.9 months and showed a healed graft to the tuberosity in all cases. Conclusion: Biologic tuberoplasty is an effective procedure in improving pain and functional outcomes in patients with massive, irreparable rotator cuff tears.
TT-MLP: Tensor Train Decomposition on Deep MLPs

Deep multilayer perceptrons (MLPs) have achieved promising performance on computer vision tasks. Deep MLPs consist solely of fully-connected layers as the conventional MLPs do but adopt more sophisticated network architectures based on mixer layers composed of token-mixing and channel-mixing components. These architectures enable deep MLPs to have global receptive fields, but the significant increase of parameters becomes a massive burden on practical applications. To tackle this problem, we focus on using tensor-train decomposition (TTD) for compressing deep MLPs. At first, this paper analyzes deep MLPs under conventional TTD methods, especially using various designs of a macro framework and micro blocks: The former is how to concatenate mixer layers, and the latter is how to design a mixer layer. Based on the analysis, we propose a novel TTD method named Train-TTD-Train. The proposed method exerts the learning capability of channel-mixing components and improves the trade-off between accuracy and size. In the evaluation, the proposed method showed a better trade-off than conventional TTD methods on ImageNet-1K and achieved a 0.56% higher inference accuracy with a 15.44% memory reduction on Cifar-10.
Deficit of digital orientation among service-based firms in an emerging economy: a resource-based view

Abstract Digital technologies are essential tools that Service-based firms can integrate into their business to transform their operations. However, in the emerging countries’ perspective, research on the application of digital orientation among Service-based firms is less researched. This poses questions to scholars why the adoption of digital orientation is quite low among developing economies. The purpose of this article is to examine the impediments to digital orientation among Service-based firms in emerging and developing countries. Inspired by a resource-based view, a survey using a structured questionnaire was administered to 466 respondents (management and employees) of Service-based firms via a convenience sampling method in Ghana. Findings revealed that the knowledge gap, cost burden, and upgrading of technology positively and significantly create the gap in digital orientation among Service-based firms. The authors admonished that Service-based firms should 'be orient' on the use of digital technologies through appropriate training programs to enhance its adoption. The study again recommends practitioners of Service-based firms cultivate the habit of investing in human and technical capacities to optimize the benefits of the evolution of digital technologies. Limitations and future research directions are discussed.
Prevalence and predictors of vaccine hesitancy among mothers of under-five children: A hospital-based cross-sectional study

BACKGROUND: The World Health Organization (WHO) states that vaccine hesitancy is one of the top 10 threats to global public health. Evidence shows that vaccine hesitancy studies in India are limited and targeted toward individual vaccines. The study aimed to fill this gap by exploring the relationship between demographics and SAGE factors toward vaccine hesitancy. MATERIALS AND METHODS: A hospital-based, cross-sectional, analytical study was conducted in a non-governmental organization (NGO) hospital with 330 beds, located in Bathalapalli, Andhra Pradesh, India. Mothers of under-five children who attended outpatient departments of pediatrics or obstetrics and gynecology were included. A total of 574 mothers were enrolled and vaccine hesitancy was determined by reviewing the mother–child protection card for the presence of delay or refusal of the recommended vaccine. A face-to-face interview was conducted to obtain demographics and WHO–SAGE variables from the participants. Binary logistic regression analysis was performed to associate independent variables (demographics and SAGE variables) with the dependent variable (vaccine hesitancy). RESULTS: Out of 574 respondents, 161 mother's children were noted as vaccine-hesitant (refusal = 7; delay = 154); and the prevalence of vaccine hesitancy was 28.05%. The delay was observed in all recommended vaccines, but the refusal or reluctance was seen in only four vaccines (hepatitis B birth dose = 1; IPV 1 and 2 = 2; Measles 1 and 2 = 3; and Rota 1, 2, and 3 = 1). The respondents' demographics like no or lower parent education (OR = 3.17; 95%CI = 1.50–6.72) and fewer antenatal visits (OR = 2.30; 95%CI = 1.45–3.36) showed higher odds, whereas the upper socioeconomic status showed lower odds (OR = 0.09; 95%CI = 0.02–0.36) toward vaccine hesitancy. The WHO–SAGE dimensions like awareness (OR = 0.14; 95%CI = 0.03–0.53), poor access (OR = 7.76; 95%CI = 3.65–16.51), and low acceptability of the individual (OR = 07.15; 95%CI = 1.87–27.29), community (OR = 6.21; 95%CI = 1.58–24.33) were significantly associated with vaccine hesitancy. CONCLUSION: The study concludes that the prevalence of vaccine hesitancy was high. Vaccine safety and children's health are primary concerns for parents' refusal/reluctance. To achieve 100% immunization coverage, policymakers need to reduce vaccine hesitancy by developing strategies based on demographic and WHO–SAGE working group predictors.
Investigating the relation of higher education students’ situational self-efficacy beliefs to participation in group level regulation of learning during a collaborative task

Abstract Understanding the role individual beliefs play when the group faces challenge is key in understanding the shared regulation processes and participation that lead to collaborative learning success. As of now, there is not much research focusing on how self-efficacy plays a role in regulation taking place in collaborative group settings. Therefore, the aim of this study is to explore how situational self-efficacy beliefs relate to students’ participation in group level regulation during a collaborative task. The study involved 18 university students working in groups on a computer-based collaborative task. Repeated self-reports measuring group members’ self-efficacy were related to performance feedback from the task as well as participation in group level regulation identified from videotaped collaborative working. The results showed that self-efficacy varied depending on the nature of performance feedback. In addition, the way students participated in regulation was connected with their level of self-efficacy: low self-efficacy was associated with taking a passive role in regulation whereas high self-efficacy was associated with taking an active role. The study suggests that situational self-efficacy beliefs are associated with the participation roles during group level regulation, thus being of practical concern for educators seeking to support learners’ self-efficacy and active participation in collaborative learning.
Targeting Class I-II-III PI3Ks in Cancer Therapy: Recent Advances in Tumor Biology and Preclinical Research

Simple Summary The PI3K/AKT pathway is one of the most important signaling nodes in cancer. While class I PI3K roles in cancer are well known, class II and III functions in physiology and physiopathology are poorly studied. Moreover, the interactions between pathways controlled by all three classes are not fully understood. The understanding of the mechanisms behind their cooperative functions could be key for efficient PI3K combination targeting in cancer therapy. This review will focus on the recent advances on the roles of the different classes of PI3K in cancer biology, their cross-regulations and their targeting in preclinical models. Abstract Phosphatidylinositol-3-kinase (PI3K) enzymes, producing signaling phosphoinositides at plasma and intracellular membranes, are key in intracellular signaling and vesicular trafficking pathways. PI3K is a family of eight enzymes divided into three classes with various functions in physiology and largely deregulated in cancer. Here, we will review the recent evidence obtained during the last 5 years on the roles of PI3K class I, II and III isoforms in tumor biology and on the anti-tumoral action of PI3K inhibitors in preclinical cancer models. The dependency of tumors to PI3K isoforms is dictated by both genetics and context (e.g., the microenvironment). The understanding of class II/III isoforms in cancer development and progression remains scarce. Nonetheless, the limited available data are consistent and reveal that there is an interdependency between the pathways controlled by all PI3K class members in their role to promote cancer cell proliferation, survival, growth, migration and metabolism. It is unknown whether this feature contributes to partial treatment failure with isoform-selective PI3K inhibitors. Hence, a better understanding of class II/III functions to efficiently inhibit their positive and negative interactions with class I PI3Ks is needed. This research will provide the proof-of-concept to develop combination treatment strategies targeting several PI3K isoforms simultaneously.
Sexual recognition and mating behavior of the populus longhorned beetle, Batocera lineolata (Coleoptera: Cerambycidae).

We studied the sexual recognition and mating behavior of B. lineolata by video tracking capture system (EthoVision 3.1) and field observation, in order to get some fundamental information for the effective control of Batocera lineolata Chevrolat (Coleoptera: Cerambycidae) and enrich the reproductive behavior of the insect. Result showed that, during the encountering, the intersection time of two tracks and net relative movements for the female-male group were longer than for the female-female group or the male-male group; while the reaction time was shorter than the latters. A complete mating of B. lineolata included three stages, i.e. (ⅰ) pair-bonding (ⅱ) mating attempt and ejaculation (ⅲ) post-copulatory guarding. The average time of pair-bonding is 2.16 min, and 10.28 min, 5.37 min for mating and post-copulatory guarding, respectively. In mating experiments with different sex ratios, the mating number fluctuated regularly, and it was greatly different in mating number for male or female individuals. The virgin female or male, spent more total ejaculation time than mated ones. Higher mating rates were observed on the host plant than on the open ground. The mating behavior in the field test was similar to results from the laboratory experiment.
Current Nutritional Therapies in Inflammatory Bowel Disease: Improving Clinical Remission Rates and Sustainability of Long-Term Dietary Therapies

Inflammatory Bowel Disease (IBD) includes a spectrum of chronic immune-mediated intestinal diseases thought to be related to the complex interaction between the host immune system and the intestinal microbiome. Research supports the use of nutritional therapy in IBD; however, it is not routinely used in clinical practice. This literature review seeks to advance the understanding of diet and its effect in IBD with a focus on both Crohn’s Disease (CD) and Ulcerative Colitis (UC). The contribution of diet to the development and treatment of IBD cannot be overstated. In both pediatric as well as adult IBD, nutritional interventions have been shown to improve clinical symptoms as well as inflammatory burden. The impact of dietary intervention is best exemplified through the use of Exclusive Enteral Nutrition (EEN) in CD. EEN and clinical research on exclusionary whole food diets—Crohn’s Disease Exclusion Diet (CDED), Specific Carbohydrate Diet (SCD), low fermentable oligosaccharides, disaccharides, monosaccharides and polyols (FODMAP) diet, and Mediterranean Diet—are discussed within this review. Current clinical literature supports the elimination of detrimental components and the incorporation of low processed whole foods in the diet. Additional prospective and longitudinal dietary studies on sustainable and long-term dietary options, along with a deeper understanding of the mechanism, are needed to further advance the role of nutritional interventions in IBD.
Comparison of DAT with DCT in a Viewpoint of Current Image Processing and Analysis Trends

Digital images are a type of data that has many applications. There are many constructive tools for their analysis and processing. In particular, various discrete transforms are used in order to get useful data features. Here, discrete atomic transform (DAT) and discrete cosine transform (DCT), which are discrete data transforms based, respectively, on atomic and trigonometric functions, are compared in a viewpoint of current image processing and analysis trends. Nowadays, due to a combination of challenges, it is of particular importance to develop such algorithms that provide data compression and protection features in combination with artificial intelligence oriented format. For different reasons, in particular functional properties, application of such non-classic tools as atomic functions to solving this problem seems to be promising. Trigonometric functions are widely used in image processing and can be de-facto considered as a standard. In this research, we provide a comprehensive comparison of DAT and DCT using different criteria, as well as discuss their strengths and weaknesses in the context of the problem considered.
Beyond the individual: The regulation and negotiation of socioemotional practices across a learning ecosystem

ABSTRACT Background In this paper, we extend theories of group cognition and regulation to examine how regulation occurs as part of a learning ecosystem. We examine our instructional approach, Embedded Design, that uses Human-Computer Interaction (HCI) as a conduit for students to make sense of their sociotechnical world and the ways people design everyday interaction around technology. Methods Our research questions centered on identifying (RQ1) the types of problems that require students’ collective regulation, . Our population included learners aged 8-12 enrolled in a play-based after school HCI design club. Using micro-analytic techniques, we examined the HCI design processes of four teams over nine sessions and four learners over two years. Findings We identified the most common problems students encountered, how regulation and negotiation played out across different levels of analysis, what types of learning occurred as participants worked to improve collaborative processes over time, and the role that technology played in the process. Contribution We end the paper by proposing a model of how nested collective knowledge building processes evolve over time and discuss the implications of our findings for K-12 HCI education.