Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of Functional Outcome of Rectal Cancer Management in Two Specialized Centers in the Last Three Years

Background : Rectal cancer surgery had achieved remarkable evolution over the past years. Thanks to the adoption of total mesorectal excision and neoadjuvant chemoradiation, local recurrence rates dropped significantly down to 5%. Objective: This study was aimed to evaluate the functional and oncological outcome of rectal cancer management in specialized two centers. Patients and methods : This retrospective study included a total of 30 patients operated for rectal cancer, attending at Zagazig University Hospitals and Meet Ghamer Oncology Center. This study was conducted between 2017 to 2019. Results : This study included 30 cases, 16 were males and 14 were females, operative time ranged from 120-140 minutes with mean 130 minutes. Blood loss ranged between 250-600 cc. Only one case was converted to open surgery. No intraoperative complications like ureteric or bowel injuries were recorded. Postoperative complications were noted in 7 patients, of them 4 patients developed perineal wound infection and they improved with conservative management, one case developed chest infection who was improved with medical treatment, 1 patient developed stoma and sunken refashioning was successfully done, and 1 patient complained of postoperative urinary incontinence and impotence. Conclusion : It could be concluded that laparoscopic surgery improves oncologic and functional outcome better than open because of good visualization of pelvic anatomy.
The effect of different early feeding regimens involving a hydrated nutritious gel on productive performance, immune variables, and intestinal morphology of broiler chickens

Abstract The present research aimed to evaluate the effect of early feeding (EF) with a hydrated nutritious gel (HNG) on productive performance, carcass traits, immune variables, and intestinal morphology of broiler chickens. A total of 490 one-day-old Ross 308 broilers were allotted to 5 EF regimens with 7 replicates each. Treatments were as follows: the group deprived of both feed and water during the first 24 hours post-hatch (control); group fed with 2g HNG/bird in chick box and then with 2g HNG + 2g starter feed/bird immediately after placement (T1); group fed with 2g HNG + 2g starter feed/bird in chick box (T2); group fed with 2g HNG/bird in chick box (T3); and the group fed with 2g HNG + 2g starter feed/bird immediately after placement (T4). The results showed that HNG-treated groups had lower relative yolk sac weight compared to the control group (P < 0.05). During the starter period, T2, T3, and T4 groups had significantly (P < 0.05) higher body weight gain (BWG) and feed intake (FI) than the control group. At 24 d of age, the T2 group had the highest BW, differing significantly from those of the control and T1 groups. During the grower period, the T4 group had higher FI than the control group (P < 0.05). Antibody response against infectious bronchitis virus (IBV) was improved in the T1, T2, and T3 groups (P < 0.05). The highest relative leg weight was found in the T2 group. In conclusion, the HNG administration in chick box and/or immediately after placement had beneficial effects on the health and performance of broiler chickens. Highlights Receiving the nutritious gel resulted in significant increments in yolk sac absorption. Early nutrition with the nutritious gel showed positive effects on weight gain and feed intake during the first 10 d post-hatch. On the 25th day after hatch, gel-receiving groups had higher antibody titers against infectious bronchitis virus as compared to the control group.
Analisis Faktor Yang Mempengaruhi Earning Response Coefficient Pada Perusahaan Sektor Keuangan Yang Terdaftar Pada BEI Sebelum Dan Selama Pandemik Covid-19

This study analyzes the effect of leverage, systematic risk (Beta), company size, company growth, and profitability, on the Earning Response Coefficient (ERC). ERC is an indicator of the quality of financial statements which is calculated based on the market response to accounting profit. This research was conducted on financial sector companies listed on the Indonesia Stock Exchange in the period before Covid-19 and during the Covid-19 period. For the period before Covid-19 the research was carried out in the third quarter of 2018 to the fourth quarter of 2020 while the research during the Covid-19 period was carried out in the first quarter of 2020 to the second quarter of 2021. Samples were taken using purposive sampling that met the selection criteria. The results showed that the ROA variable had a significant effect on ERC in the period before Covid-19, but none of the variables had a significant impact during Covid-19. Penelitian ini menganalisis pengaruh leverage, risiko sistematik (Beta), ukuran perusahaan, pertumbuhan perusahaan, dan profitabilitas, pada Earning Response Coefficient (ERC). ERC merupakan salah satu indikator kualitas laporan keuangan yang dihitung berdasarkan respon pasar terhadap laba akuntansi. Penelitian ini dilakukan pada perusahaan sektor keuangan yang terdaftar di Bursa Efek Indonesia pada periode sebelum Covid-19 dan selama periode Covid-19. Untuk periode sebelum Covid-19 penelitian dilakukan pada kuartal ketiga tahun 2018 sampai dengan kuartal keempat 2020 sedangkan penelitian selama periode Covid-19 dilakukan pada kuartal pertama tahun 2020 sampai dengan kuartal kedua tahun 2021. Sampel diambil dengan menggunakan purposive sampling yang memenuhi kriteria pemilihan. Hasil penelitian menunjukkan bahwa variabel ROA berpengaruh signifikan terhadap ERC pada periode sebelum Covid-19 namun tidak ada satu variabel pun yang berdampak signifikan pada periode selama Covid-19.
CAREER GUIDANCE FOR WOMAN AFTER PARENTAL LEAVE

Often, the return of woman to work after parental leave gives many reflections and emotional experiences on how to reconcile the balance between work and private life. Becomes important still woman, after long absences, is able to compete qualitatively on the labor market.The mother's competencies, professional knowledge, qualifications and compliance with job responsibilities and requirements are important in order to be able to adapt to new social roles.Fundamentally, whether and to what extent, woman needs career support.The mission of a career counselor in a conversation with a mother after parental leave is to guide her to possible strategies for action. It is important to raise a woman's awareness of her desires, skills, strengths, opportunities for her success in her career development. The study, on career support for mothers after parental leave, involved 190 mothers who answered 40 questionnaire questions. The study was conducted with the aim of clarifying how existing career support can help mothers to return to the labor market after parental leave. The results of the study show that most mothers need career support after parental leave. Career support would be more demanding if information on career support services was available in one place for this target group. The most frequently mentioned troublesome conditions for career development are work and private life disbalance, lack of time, unavailability of childcare services, finance.
Modeling and analysis of multilayer piezoelectric-elastic spherical transducers

An exact analytical model of multilayer piezoelectric-elastic spherical transducers is established in this article, and their dynamic characteristics are studied. Based on the linear theory of piezoelasticity, the dynamic analytical solution is derived in terms of Bessel functions, Lommel functions, Gamma functions, and Generalized Hypergeometric functions, and the electric impedance is obtained to determine the resonance frequencies. By proper selection of the layer number and geometric dimensions, the proposed model can approximately degrade into some special cases in the previous works, including single-layer piezoelectric spherical transducer, two-layer piezoelectric-elastic spherical transducer, and three-layer sandwiched piezoelectric-elastic-piezoelectric spherical transducer. Comparisons between the results of the proposed model and the ones of these special cases are also given and good agreements are found. Furthermore, parametric studies are conducted to discuss the effects of the key parameters on the dynamic characteristics of these special cases and a multilayer case, such as the first resonance and anti-resonance frequencies as well as the corresponding electromechanical coupling factor. This work contributes to an overall understanding of the dynamic characteristics of miniature piezoelectric hollow sphere transducers (BBs) and stacked piezoelectric spherical transducers. The developed model can be used to guide the design of the multilayer piezoelectric-elastic spherical transducers for promising applications in underwater acoustic detection, ultrasonic imaging, hydrophones, and nondestructive testing.
DNA Methylation by Bisulfite Next-Generation Sequencing for MLH1 and MGMT in Oral Squamous Cell Carcinomas and Potentially Malignant Disorders: An Integrative Analysis towards Field Cancerization

Background and Objectives: MGMT methylation is a well-described biomarker in several solid tumors and MLH1 seems to occur in the initial stages of oral carcinogenesis. The aims of this study were to evaluate MHL1 and MGMT methylation levels in oral squamous cell carcinoma (OSCC) and oral potentially malignant disorders (OPMDs), and to integrate this information with The Cancer Genome Atlas (TCGA) database. Materials and Methods: To determine the percentage of gene methylation in MLH1 and MGMT, pyrosequencing analysis was conducted. Samples were divided as follows: (1) patients diagnosed with OSCC (N = 16); (2) patients with OPDM who developed OSCC in the same location (N = 47); and (3) patients with OPDM who developed OSCC in a different location (N = 22). As a validation cohort in this study, data from The Cancer Genomic Atlas (TCGA) database, particularly regarding Head and Neck Squamous Cell Carcinoma, was used. Results: Overall MLH1 methylation levels of 8.6 ± 11.5% and 8.1 ± 9.2% for MGMT were obtained. With regard to MHL1, the OSCC presented the highest degree of methylation with 9.3 ± 7.3% (95%CI 5.1–13.6), and with regards to MGMT, the simultaneous malignancy group presented the highest degree of methylation with 10 ± 13.5% (95%CI 6–10), although no significant differences were found between the groups (p = 0.934 and p = 0.515, respectively). The estimated survival was higher for MGMT methylated cases (19.1 months, 95%CI 19.1–19.1) than for unmethylated cases (9.4 months, 95%CI 6–12.8), but not statistically significant. Conclusions: Our results did not show a correlation between MGMT and MLH1 methylation and any clinicopathological feature or survival in our institutional cohort. MLH1 methylation was present mainly in OSCC, whilst MGMT in OPMD represented a modest contribution to field cancerization, with an overall consistency with the TCGA database.
Bulletin of Electrical Engineering and Informatics

Received Mar 21, 2022 Revised May 15, 2022 Accepted Jun 28, 2022 Among the most important systems in the body is the eyes. Although their small stature, humans are unable to imagine existence without it. The human optic is safe against dust particles by a narrow layer called the conjunctiva. It prevents friction during the opening and shutting of the eye by acting as a lubricant. A cataract is an opacification of the eye's lens. There are various forms of eye problems. Because the visual system is the most important of the four sensory organs, external eye abnormalities must be detected early. The classification technique can be used in a variety of situations. A few of these uses are in the healthcare profession. We use visual geometry group (VGG16), ResNet-50, and Inception-v3 architectures of convolutional neural networks (CNNs) to distinguish between normal eyes, conjunctivitis eyes, and cataract eyes throughout this paper. With a detection time of 485 seconds, Inception-v3 is the most accurate at detecting eye disease, with a 97.08% accuracy, ResNet-50 performs the second-highest accuracy with 95.68% with 1090 seconds and lastly, VGG-16 performs 95.48% accuracy taking the highest time of 2510 seconds to detect eye diseases.
Interleukin 15 in Cell-Based Cancer Immunotherapy

Cell-based cancer immunotherapy, such as chimeric antigen receptor (CAR) engineered T and natural killer (NK) cell therapies, has become a revolutionary new pillar in cancer treatment. Interleukin 15 (IL-15), a potent immunostimulatory cytokine that potentiates T and NK cell immune responses, has demonstrated the reliability and potency to potentially improve the therapeutic efficacy of current cell therapy. Structurally similar to interleukin 2 (IL-2), IL-15 supports the persistence of CD8+ memory T cells while inhibiting IL-2-induced T cell death that better maintains long-term anti-tumor immunity. In this review, we describe the biology of IL-15, studies on administrating IL-15 and/or its derivatives as immunotherapeutic agents, and IL-15-armored immune cells in adoptive cell therapy. We also discuss the advantages and challenges of incorporating IL-15 in cell-based immunotherapy and provide directions for future investigation.
Polyene Antibiotics Physical Chemistry and Their Effect on Lipid Membranes; Impacting Biological Processes and Medical Applications

This review examined a collection of studies regarding the molecular properties of some polyene antibiotic molecules as well as their properties in solution and in particular environmental conditions. We also looked into the proposed mechanism of action of polyenes, where membrane properties play a crucial role. Given the interest in polyene antibiotics as therapeutic agents, we looked into alternative ways of reducing their collateral toxicity, including semi-synthesis of derivatives and new formulations. We follow with studies on the role of membrane structure and, finally, recent developments regarding the most important clinical applications of these compounds.
Dendritic Cell-Based Immunotherapy in Hot and Cold Tumors

Dendritic cells mediate innate and adaptive immune responses and are directly involved in the activation of cytotoxic T lymphocytes that kill tumor cells. Dendritic cell-based cancer immunotherapy has clinical benefits. Dendritic cell subsets are diverse, and tumors can be hot or cold, depending on their immunogenicity; this heterogeneity affects the success of dendritic cell-based immunotherapy. Here, we review the ontogeny of dendritic cells and dendritic cell subsets. We also review the characteristics of hot and cold tumors and briefly introduce therapeutic trials related to hot and cold tumors. Lastly, we discuss dendritic cell-based cancer immunotherapy in hot and cold tumors.
Modeling Retention and Evaluating Regulations on and Maintenance Needs of Bioretention Systems

This report focus on three aspects of stormwater retention; computer modeling in DHI MIKE Urban, Swedish legislation and maintenance of bioretention cells. The objective is to investigate if a specific type of bioretention cell located in Johanneberg, Gothenburg, can reduce the stormwater flows to the wastewater treatment plant when implemented on a largescale district level. The aspects in focus are peak-flow and combined sewer overflow reduction. The focus lies also on evaluating the Swedish regulations on retentions systems and thereby illustrating the need for improvements to develop the use of sustainable bioretention systems in Sweden. Also, maintenance of Bio Retention Cells (BRCs) in the establishment period will be assessed in regard to type of activities and quantity. The results from the specific rainfalls studied in this thesis, show that implementing BRCs that retain stormwater from 0.7 [ha] of the 12.7 [ha] catchment area have little effect on the retention of the water that discharge from the entire studied catchment area. Further on, to increase the development of sustainable stormwater management systems, the current legislation needs to extend beyond the limit of stormwater management in public areas. Results show that focus on making demands on property owners and to use larger parts of urban areas to retain stormwater is necessary. Results from the maintenance study show that regular watering and replanting of dead plants during the establishment period of the vegetation is necessary. The short study period in this thesis limits the result to the establishment period and cannot draw conclusion on any other maintenance activities further on in the life-span of the BRCs, which was an intention with this study.
Analysis of parametric and non-parametric regression techniques to model the wind turbine power curve

Wind turbine power curve provides technical specification of the wind turbine in the form of nominal wind power readings. This information may used to monitor the performance of the power system, estimate the power produced by the turbine, optimize the operational cost, and improve the reliability of the power system. However, this information is not sufficient to accomplish these tasks. To accomplish these tasks, the accurate modeling of the wind power curve is required. In this article, various curve fitting techniques, namely polynomial regression, locally weighted polynomial regression, spline regression, piecewise polynomial regression, and smoothing spline, have been applied to model the power curve of wind turbine. All these techniques have been used to model the power curve on National Renewable Energy Laboratory (NREL) 2012 dataset with site-id 124693.
Evaluation of scraper operator exposure to whole-body vibration in the construction industry: a task analysis

Whole-body vibration (WBV) exposure is a major concern for large equipment operators in the construction industry. The objective of this study was to determine if the exposure to whole body vibration of scraper operators exceeded the 1997 ISO Standard 2631. The operator completed five distinct tasks: 1) traveling fully loaded with dirt, 2) dumping and distributing dirt, 3) traveling empty, 4) idling while waiting to be pushed by a bull-dozer to scrape more dirt, 5) scraping a new load of dirt. Twenty-minute vibration samples that included at least three work cycles were taken using 33 scrapers. The average rms acceleration of the z-axis was 1.21 m/s. The dominant axis for which the vibration acted through the seat was the z-axis (vertically through the seat pan). Vector sum values were 2.08 m/s. The WBV values obtained demonstrate that a major health hazard exists for the operators of scrapers.
Continuous Person Identification and Tracking in Healthcare by Integrating Accelerometer Data and Deep Learning Filled 3D Skeletons

With the technological development in healthcare, environments such as rehabilitation clinics and patients’ houses, are increasingly monitored by multi-device systems. To aggregate information, overcome privacy issues and device failures, it is essential to match measurements from different sources and associate them to a particular patient. While cameras are used to detect and track anonymized persons, wearable devices can acquire inertial and health information. The challenge is to correctly pair the tracked persons to their status, such as heart rate, collected by other devices. Recently, many works have been proposed, in several scenarios, to tackle sensor fusion-based tracking using a large variety of information. However, when the budget is limited, the involved sensing devices lack of inertial components, such as gyroscope, and may have low precision. In this work, we propose a novel solution to match unlabeled 3D skeletons, detected by a depth camera, with on-wrist wearable devices equipped only with accelerometer. Additionally, a Deep Learning submodule, named SkeletonRNN, is introduced to overcome camera failures in the 3D skeletons points detection and fill missing joints. A complete dataset containing skeletons and accelerations measurements, of dailies and rehabilitation activities, has been collected, manually annotated, and is available for testing purposes. We trained and tested the SkeletonRNN using data augmentation on our dataset, the final average 3D point prediction error is 11.00cm and the skeleton-device pairing accuracy of the overall system is 76.62% on a total of 231 chucks. Datasets, code and experiments can be found at https://github.com/matteo-bastico/SkeletonRNN.
On the Transformation of Traditional IS Service Department into a Modern IS Center: A Case Study

Some issues related to the transformation of a traditional IS service department into a modern team-based information center are discussed. The process of transformation comprises human resources analysis, investigation of possible ways of transformation, proposal of a new organization and constitution of development teams (DTs). New organization is based on DTs with flexible structure, which ensures a successful transformation. Education during transformation must be adjusted to the customer and can include different approaches such as on-the-job education, full curriculum and the short-term training plan, consulting services, end-user education and so forth. An educational framework should propose the standards to be followed and possible adjustments of those standards, which would make the education successful. A study done for a large state-owned Croatian company, carried out in practice as part of the initial strategy plan, will be presented and used as an example.
Novel Approaches in Molecular Characterization of Classical Hodgkin Lymphoma

Simple Summary The unique tumor composition of classical Hodgkin lymphoma (cHL), with only a small fraction of malignant Hodgkin and Reed–Sternberg cells within the tumor tissue, has created many challenges to characterize the genetic alterations that drive this lymphoid malignancy. Major advances in sequencing technologies and detailed analysis of circulating tumor DNA in blood samples of patients have provided important contributions to enhance our understanding of the pathogenesis of cHL. In this review, we provide an overview of the recent advances in genotyping the clonal and mutational landscape of cHL. In addition, we discuss different next-generation sequencing applications to characterize tumor tissue and cell-free DNA, which are now available to improve the diagnosis of cHL, and to monitor therapeutic response or disease progression during treatment and follow up of cHL patients. Abstract Classical Hodgkin lymphoma (cHL) represents a B-cell lymphoproliferative disease characterized by clonal immunoglobulin gene rearrangements and recurrent genomic aberrations in the Hodgkin Reed–Sternberg cells in a reactive inflammatory background. Several methods are available for the molecular analysis of cHL on both tissue and cell-free DNA isolated from blood, which can provide detailed information regarding the clonal composition and genetic alterations that drive lymphoma pathogenesis. Clonality testing involving the detection of immunoglobulin and T cell receptor gene rearrangements, together with mutation analysis, represent valuable tools for cHL diagnostics, especially for patients with an atypical histological or clinical presentation reminiscent of a reactive lesion or another lymphoma subtype. In addition, clonality assessment may establish the clonal relationship of composite or subsequent lymphoma presentations within one patient. During the last few decades, more insight has been obtained on the molecular mechanisms that drive cHL development, including recurrently affected signaling pathways (e.g., NF-κB and JAK/STAT) and immune evasion. We provide an overview of the different approaches to characterize the molecular composition of cHL, and the implementation of these next-generation sequencing-based techniques in research and diagnostic settings.