Miracle-dz/UniFAR-FTUs huggingface dataset:
Novel Noninvasive Serum Biomarkers for Prompt Diagnosis of Breast Carcinoma

Immune cell infiltration is associated with improved prognosis in the microenvironment of breast cancer. The incidence of breast cancer in Pakistan is 2.5 times higher than that in neighboring countries of Asia, accounting for 34.6% of female cancers. The objectives of this study were to compare and determine apoptotic mediators and biomarkers for breast carcinoma, such as serum granzyme B, cytochrome C, and vitamin D by ELIZA and calcium spectrophotometrically. Study groups were differentiated into malignant breast disease G-I, benign proliferative breast disease G-II, and healthy control group G-III. The immune-related prognostic markers and therapeutic targets were determined through the interaction of proteins by molecular docking and AutoDock Vina software. The level of granzyme B and cyt C was higher in Group-I, -II, and -III. Likewise, the mean vitamin D level was greater in Group-I than those in other groups. Through SwissDock, the proteins granzyme B and cyt C with vitamin D, single amino acid residue MET34 (H-bond 2.75 Å), and ILE81(H-bond 2.092 Å) were revealed to actively participate in interactions. This study reveals granzyme B and cyt C as biomarkers for malignant breast disease and benign proliferative breast disease, while hypovitaminosis D and hypocalcemia are complications or comorbidities of breast cancer.
Comparison and analysis of multiple machine learning models for discriminating benign and malignant testicular lesions based on magnetic resonance imaging radiomics

Objective Accurate identification of testicular tumors through better lesion characterization can optimize the radical surgical procedures. Here, we compared the performance of different machine learning approaches for discriminating benign testicular lesions from malignant ones, using a radiomics score derived from magnetic resonance imaging (MRI). Methods One hundred fifteen lesions from 108 patients who underwent MRI between February 2014 and July 2022 were enrolled in this study. Based on regions-of-interest, radiomics features extraction can be realized through PyRadiomics. For measuring feature reproducibility, we considered both intraclass and interclass correlation coefficients. We calculated the correlation between each feature and the predicted target, removing redundant features. In our radiomics-based analysis, we trained classifiers on 70% of the lesions and compared different models, including linear discrimination, gradient boosting, and decision trees. We applied each classification algorithm to the training set using different random seeds, repeating this process 10 times and recording performance. The highest-performing model was then tested on the remaining 30% of the lesions. We used widely accepted metrics, such as the area under the curve (AUC), to evaluate model performance. Results We acquired 1,781 radiomic features from the T2-weighted maps of each lesion. Subsequently, we constructed classification models using the top 10 most significant features. The 10 machine-learning algorithms we utilized were capable of diagnosing testicular lesions. Of these, the XGBoost classification emerged as the most superior, achieving the highest AUC value of 0.905 (95% confidence interval: 0.886–0.925) on the testing set and outstripping the other models that typically scored AUC values between 0.697–0.898. Conclusion Preoperative MRI radiomics offers potential for distinguishing between benign and malignant testicular lesions. An ensemble model like the boosting algorithm embodied by XGBoost may outperform other models.
A Data Security Exchange and Sharing System Construction Method and Perfomance Evaluation

Sensitive data faces security risks of theft, tampering, or abuse during the exchange and sharing process. This paper proposes a new method for constructing a data security exchange and sharing system based on the above risks, and improves attribute-based access control technology to achieve policy conflict resolution through dynamic authentication and multi-party joint authorization. On this basis, real-time recording technology based on Merkle tree is used to achieve tamper proof forensics and precise traceability of data. The experimental results show that the data security exchange and sharing system has the advantages of high encryption speed as well as search efficiency, and has the characteristics of supporting multi-party joint authorization and short response time for access control.
Ovarian cancer treatment and natural killer cell-based immunotherapy

Background Ovarian cancer (OC) is one of the malignant tumors that poses a serious threat to women’s health. Natural killer (NK) cells are an integral part of the immune system and have the ability to kill tumor cells directly or participate indirectly in the anti-tumor immune response. In recent years, NK cell-based immunotherapy for OC has shown remarkable potential. However, its mechanisms and effects remain unclear when compared to standard treatment. Methods To explore the value of NK cell-based immunotherapy in the treatment of OC, we conducted a literature review. In comparison to standard treatment, our focus was primarily on the current anti-tumor mechanisms, the clinical effect of NK cells against OC, factors affecting the structure and function of NK cells, and strategies to enhance the effectiveness of NK cells. Results We found that NK cells exert their therapeutic effects in OC through mechanisms such as antibody-dependent cell cytotoxicity, perforin release, and granule enzyme secretion. They also secrete IFN-γ and TNF-α or engage in Fas/FasL and TRAIL/TRAILR pathways, mediating the death of OC cells. In clinical trials, the majority of patients experienced disease stability with mild side effects after receiving NK cell-based immunotherapy, but there is still a lack of high-quality research evidence regarding its clinical effectiveness. OC and prior experience with standard treatments have an effect on NK cells, and it may be considered to maximize NK cell effects through the modulation of the tumor microenvironment or combination with other therapies. Conclusions In this review, we have summarized the current evidence of NK cell applications in the treatment of OC. Furthermore, factors and strategies that influence and enhance the role of NK cell immunotherapy are discussed.
Missing Cases of Heavy Menstrual Bleeding when Investigating the Etiology of Iron Deficiency

Due to incorrect answers to simple questions like ``Do you have heavy menstrual bleeding? '', heavy menstrual bleeding, the most prevalent cause of iron deficiency in women, is underdiagnosed. In this retrospective and cross-sectional study, menstruating female patients who applied to the iron deficiency outpatient clinic between April and September 2021 were analyzed. Scores on the picture bleeding assessment chart (PBAC) and complaints of heavy menstrual bleeding were recorded. The chi-square test and confusion matrix were conducted. There were 157 patients in the sample. There were 82 patients who said they did not have heavy menstrual bleeding, while 75 patients said they did ($$\chi^2(1)=19.7$$, $$p<0.001$$). Sixty percent of patients who did not report significant bleeding had a PBAC score greater than 100, with a median score of 184. The Chi-square test revealed a significant difference between complaints of heavy menstrual bleeding (yes/no) and PBAC (normal/high). The negative predictive value was calculated to be 40.2, while the false miss rate was 59.8%. Six out of ten patients who are investigated for iron deficiency and whose primary cause is heavy menstrual bleeding may be overlooked by this query. In such etiologic investigations, much more objective methodologies, such as PBAC, should be applied.
The Impact of Export on the Development
of Green Industries for Sustainability
in DI Yogyakarta Region, Indonesia:
an Extended Input-Output Analysis

Post-Covid-19 pandemic, economic activity has been beginning to increase, and there is an increase in exports of goods and services that will drive a region’s economy, especially in the manufacturing industry sectors. However, at the same time, it will cause carbon emissions that should be mitigated as part of Indonesia’s commitment to becoming a net zero emission (2060). This study aims to investigate the direct impacts, indirect impacts, and induced effects caused by an increase in exports on the increase in output, gross value added (GVA), labor absorbed by the manufacturing industry sectors, and predictions of CO 2 e emissions that will arise. The analysis method used is an extended input-output model with the main data of the Input-Output Table and the Greenhouse Gas Inventory Data. A case study of the DI Yogyakarta region and the results showed that the projected export of products and services of around IDR 7.905 trillion would create an output of the manufacturing industry sector of around IDR 5.58 trillion, GVA of around IDR 2.20 trillion and absorb a workforce of around 71,119 people. Furthermore, the carbon emissions produced are 38.72 GgCO 2 e.
Implementation of a Time-to-Digital Converter Inside FPGA

This paper is focused on the implementation of a Time-to-Digital Converter (TDC) inside an FPGA circuit aimed at a specific application in the field of comparison of two time scales maintained by primary time standards (atomic clocks). The design requirements of the TDC were tailored to meet the needs of this intended use. That means there is a need for a wide measuring range of hundreds of milliseconds with time resolution as best as possible (smaller than 10 ps). Commercially-available TDCs on the market do not fulfil above mentioned requirements [2]. The implemented TDC utilizes a well-known combination of a delay line and a counter, which provides excellent resolution and a wide measuring range. We have selected FPGA type Cyclone V with 28 nm manufacturing technology to develop the TDC. Thanks to the specialized usage of the FPGA adders as a delay line and manufacturing technology of the used FPGA, we obtained the TDC with a resulting resolution of 8.6 ps. The significant advantages of this solution are flexibility, scalability, simple utilization into any FPGA system and availability to tune measuring range and input control interface based on specific needs.
Chitosan Soft Matter Vesicles Loaded with Acetaminophen as Promising Systems for Modified Drug Release

Our study was designed to acquire, characterize and evaluate the biocompatibility of novel lipid vesicles loaded with acetaminophen (APAP) and coated with chitosan (CS). We investigated the in vitro and in vivo drug release kinetics from these systems, and we conducted assessments for both in vitro hemocompatibility and in vivo biocompatibility. For the in vivo biocompatibility evaluation, the mice were randomly divided into four groups of six animals and were treated orally as follows: control group: 0.1 mL/10 g body weight of double-distilled water; CS group: 0.1 mL/10 g body weight 1% CS solution; APAP group: 150 mg/kg body weight APAP; APAP-v group: 150 mg/kg body weight APAP-loaded lipid vesicles. The impact of APAP-v on various hematological, biochemical, and immune parameters in mice were assessed, and the harvested tissues were subjected to histopathological examination. The innovative formulations effectively encapsulating APAP within soft vesicles exhibited reasonable stability in solution and prolonged drug release in both in vitro and in vivo studies. The in vitro hemolysis test involving APAP-loaded vesicles revealed no signs of damage to red blood cells. The mice treated with APAP-v showed neither significant variances in hematological, biochemical, and immune parameters, nor structural changes in the examined organ samples, compared to the control group. APAP-v administration led to prolonged drug release. We can conclude that the APAP-v are innovative carrier systems for modifying drug release, making them promising candidates for biomedical applications.
Optimization analysis of portal website based on Apriori algorithm

With the deepening of Digital transformation in various industries, portal websites have become a medium for various industries to display their own image, and also a key platform for interaction and communication between industries and users. Some industry portal websites have complex website structures and unreasonable page link designs, resulting in insufficient user interest in browsing websites and difficulty in quickly obtaining the required information. This article is based on the Apriori algorithm, by mining and analyzing the user access logs of a certain industry portal website, grasping the browsing patterns of users accessing the industry portal website, analyzing the potential correlation relationships presented on the website's pages, providing a basis for website structure adjustment and page link optimization, and providing information reference for subsequent portal website reconstruction and optimization.
It’s not what you think: shaping beliefs about a robot to influence a teleoperator’s expectations and behavior

In this paper we present a novel design approach for shaping a teleoperator’s expectations and behaviors when teleoperating a robot. Just as how people may drive a car differently based on their expectations of it (e.g., the brakes may be poor), we assert that teleoperators may likewise operate a robot differently based on expectations of robot capability and robustness. We present 3 novel interaction designs that proactively shape teleoperator perceptions, and the results from formal studies that demonstrate that these techniques do indeed shape operator perceptions, and in some cases, measures of driving behavior such as changes in collisions. Our methods shape operator perceptions of a robot’s speed, weight, or overall safety, designed to encourage them to drive more safely. This approach shows promise as an avenue for improving teleoperator effectiveness without requiring changes to a robot, novel sensors, algorithms, or other functionality.
Relationship between walking speed, respiratory muscle strength, and dynamic balance in community-dwelling older people who required long-term care or support and used a daycare center

Background Focusing on the relationship between frail older people and gait speed is vital to minimize the need for long-term care or increased support. The relationship between gait speed, respiratory muscle strength, and dynamic balance, is not well understood in older people requiring long-term care or support. Therefore, this study aimed to provide new insights into the relationship between gait speed, respiratory muscle strength, and dynamic balance in community-dwelling older people who required long-term care or support and used a daycare center. Methods This was a cross-sectional study of 49 community-dwelling older people (21 men, 28 women) aged ≥65 years who were certified as requiring long-term care or support under the Japanese system. The participants’ maximal inspiratory pressure (PImax), maximal expiratory pressure (PEmax), walking speed (maximal and normal walking speed), and maximal double-step length test (MDST) results were recorded. The measurement data were evaluated using Pearson’s correlation coefficient and multiple regression analysis. Results Pearson’s correlation coefficient revealed correlations between PImax and the following: maximal walking speed (r = 0.606, p < 0.001), normal walking speed (r = 0.487, p < 0.001), and MDST (r = 0.435, p = 0.002). Correlations were also observed between PEmax and the following: maximal walking speed (r = 0.522, p < 0.001), normal walking speed (r = 0.467, p < 0.001), and MDST (r = 0.314, p = 0.028). Moreover, a correlation was found between MDST and both maximal walking speed and (r = 0.684, p < 0.001) and normal walking speed (r = 0.649, p < 0.001). The effect size was 0.379. Multiple regression analysis using a forced entry method with maximal walking speed as the dependent variable showed that maximal walking speed was significantly associated with MDST (p < 0.001) and PEmax (p = 0.036), with an effect size of 0.272. The model’s adjusted coefficient of determination was 0.593 (p < 0.001). Multiple regression analysis using a forced entry method with normal walking speed as the dependent variable showed that normal walking speed was significantly associated with MDST (p < 0.001) and PEmax (p = 0.021), with an effect size of 0.272. The model’s adjusted coefficient of determination was 0.497 (p < 0.001). Multiple regression analysis using a forced entry method with MDST as the dependent variable showed that MDST was significantly associated with PImax (p < 0.025), with an effect size of 0.243. The model’s adjusted coefficient of determination was 0.148 (p = 0.017). Conclusions Respiratory muscle strength and dynamic balance were related to walking speed in older people requiring long-term care or support.
Silver Diamine Fluoride Renaissance in Paediatric Dentistry: A 24-Month Retrospective and Cross-Sectional Analysis

Background and Objectives: Silver diamine fluoride (SDF) has been incorporated into the treatment of dental caries in children, mainly in countries with high caries prevalence. In Europe, however, SDF started to gain popularity during the COVID-19 pandemic. This study aimed to investigate the efficacy of SDF and to evaluate dentists’/parents’ acceptance of SDF use in paediatric patients treated in a German university setting. Materials and Methods: A retrospective analysis of all patients treated with SDF between 2017 and 2020 was carried out. Only teeth with no reported clinical/radiographic evidence of irreversible pulpal inflammation were included. The outcome measures were success, minor failures (caries progression, reversible pulpitis) and major failures (irreversible pulpitis, abscess). The treatment acceptance by dentists and the parents of SDF-treated children was cross-sectionally evaluated using questionnaires. Descriptive statistics and Kaplan–Meier survival analysis were performed. Results: A total of 93 patients (mean age 5.3 ± 2.9 years) with 455 treated teeth (418 primary/91.9%; 37 permanent/8.1%) were included and followed up for up to 24 months (19.9 ± 10.5 months). SDF was used for dental caries (98.2%) and hypersensitivity relief on MIH teeth (1.8%). Most teeth did not show any failure (total success 84.2%). A total of 5 teeth (1.1%) showed minor failures, and 67 teeth (14.7%) showed major failures (p = 0.001). Success/failure rates were not affected by patient compliance, gender, dentition, or operator (p > 0.05). In total, 30 questionnaires were collected from parents (mean age 36.8 ± 6.4 years). SDF was applied on anterior (n = 2/6.7%), posterior (n = 15/50%) and anterior/posterior teeth (n = 13/43.3%). At the 1-week follow-up, 80% of parents noticed black teeth discoloration. Treatment satisfaction was higher for posterior (95.2%) than for anterior teeth (36.4%; p < 0.001). In the 27 responses from clinicians, SDF was generally considered a viable option in paediatric dentistry (n = 23; 85%). Conclusions: SDF was found to be effective and well-accepted by parents and dentists for caries inactivation in a paediatric dentistry German university setting.
A scientific workflow tool for biosphere modelling: Carbon Sink Archives

: Scientific workflows in the field of biosphere modelling include assessment of the state of the art in modelling global biogeochemical cycles. The process of assessment consists of the following steps: collecting model outputs, performing model inter-comparison study, writing summary for policymakers, formulating an agenda for further research. Here, we present a web-based service that automates the entire process.
Viterbi Soft Demodulation Algorithm for CPFSK Systems

Continuous Phase Frequency Shift Keying (CPFSK) is a phase-continuous constant-envelope modulation scheme. In modern communication systems, Turbo codes or LDPC codes are commonly used as error control codes to combat the effects of channel noise and fading. In the process of channel decoding, soft demodulation information is required to reduce the bit error rate(BER). This paper proposes a soft output calculation method for CPFSK signals based on the Viterbi demodulation algorithm. The method utilizes the difference of cumulative correlation values of the signal to characterize the log-likelihood ratio (LLR) information of the information symbols based on the derived results from conditional probability theory. These LLR values are then used as soft decision outputs. Simulation results demonstrate that, with almost no increase in algorithm complexity, this method achieves a performance improvement of approximately 3dB compared to hard decision demodulation.
Burnout, emotional distress and sleep quality among Chinese psychiatric healthcare workers during the COVID-19 pandemic: a follow-up study

Background Different from the very early stages of the COVID-19 pandemic, burnout and chronic mental health problems among health care workers (HCWs) has become a challenge. Research is lacking on the relationship between burnout, stress, emotional distress and sleep quality. Methods The Chinese center has been involved in the Cope-Corona project since the second survey (T2). Named after the project, a total of three cross-sectional surveys were distributed: T2 (February 16–20, 2021), T3 (May 10–14, 2022), and T4 (December 20–24, 2022). Burnout, depression, anxiety, sleep quality, workplace factors and individual resources were measured. Using the T4 data, we conducted structural equation model (SEM) to examine the mediating role of burnout in predicting emotional distress and sleep quality. Results 96, 124, and 270 HCWs were enrolled at T2, T3, and T4, respectively. In line with the epidemic trends, the level of perceived COVID-19 related risks was significantly higher at T4, while the feeling of health and safety decreased significantly. At T4, the percentages of participants with clinically significant levels of depression and anxiety symptoms were 18.9% (51/270) and 9.3% (25/270), respectively, while 30.4% (82/270) of them reported poor or very poor sleep quality. According to the SEM, individual resources and workplace factors mainly had an indirect effect in predicting depression and anxiety via burnout. However, neither burnout nor stress was a mediator or predictor of sleep quality. Instead, individual resources, positive workplace factors, and younger age had a direct effect in predicting good sleep quality. Conclusion Measures designed to enhance workplace factors and individual resources should be implemented to improve psychosomatic wellbeing of HCWs.
Overexpression of deubiquitinase (usp 36) in oral squamous cell carcinoma

Aim: Oral cancer is one of the top three types of cancer and is of significant public health importance in India. A common post-translational modification in cells is ubiquitination/deubiquitination, and its dysregulation is closely associated with the development of cancer. Studies on the role of ubiquitination in oral squamous cell carcinoma (OSCC) are lacking. Increased expression of usp36 has been observed in various types of cancer, and this study aimed to check the gene expression of usp36 in OSCC patients. In this study, we analyzed the expression of ubiquitin-specific proteases (USPs) 36 in OSCC. Materials and Methods: A total of 15 OSCC patients at different stages of tumor differentiation and age- and sex-matched controls were recruited for the study. The patients were categorized based on their differentiation patterns. RNA was extracted from the tissues, and usp36 gene expression was checked in these samples using a quantitative real-time PCR technique. Results: Our study showed increased expression of usp36 gene in OSCC patients. The usp36 mRNA was 231.8 ± 137.94 folds higher in well-differentiated squamous cell carcinoma patients, 38.18 ± 3.77 folds higher in moderately differentiated squamous cell carcinoma patients, and 25.49 ± 7.30 folds higher in poorly differentiated squamous cell carcinoma patients compared to control tissues. Conclusion: Our study reports, for the first time, an increased gene expression of usp36 in OSCC tissues.