Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment of the shape and dimensions of sella turcica using cone-beam computed tomography

DOI: 10.4328/ACAM.20680 Received: 2021-04-30 Accepted: 2021-06-28 Published Online: 2021-07-20 Corresponding Author: Ceren Özeren Keşkek, Izmir Training Dental Hospital, Fevzipasa Boulevard, Akinci district, No.172/2, Konak, Izmir, Turkey. E-mail: cerenozeren35@gmail.com P: +902324418181 F: +902324893548 Corresponding Author ORCID ID: https://orcid.org/0000-0002-1758-0852 Abstract Aim: This study aimed to evaluate the shape and dimensions of sella turcica in the Turkish population using cone-beam computed tomography (CBCT). Material and methods: CBCT records of 798 individuals aged 9-78 years were examined retrospectively. The depth, diameter and length of sella turcica were measured. The shapes of sella turcica were examined and classified as round, oval and flat. The obtained findings were compared according to gender and age groups. The data obtained were analyzed statistically. Results: The most common shape of sella turcica was round (46.1%). There was a statistically significant difference in all dimensions of sella turcica according to age groups (p<0.0001). The length and depth of sella turcica showed a statistically significant difference according to gender (p<0.0001). A significant positive correlation was found between age and the dimensions of sella turcica (p<0.0001). Discussion: It was observed that the dimensions of sella turcica increased with increasing age and these dimensions were larger in males. This study with a large sample size can help determine the standard sella turcica sizes. Besides, CBCT can be useful in examining sella turcica and its surrounding anatomical structures.
NFC Based Driver System

— Drowsiness may be a multidimensional feature that researchers over the past decade have found difficult to define. Indeed, it's one of the leading contributing factors in traffic accidents worldwide. Solving the matter became critical when the planning of earlier accident prevention systems was found ineffective for alerting the driving force. It is said that prevention is best than cure. Keeping this thing in mind we have designed an NFC Based Driver System which will help to solve this problem to a great extent. Our system consists of an NFC-based device that is connected to the engine. Whenever the driver wishes to start the vehicle, he/she has to place his/her NFC Key/Card on the device. Once it is placed on the device then the device communicates with the server and checks for the driver details. If the driver has already driven any vehicle for more than the threshold time in total then the vehicle, he/she is trying to drive will not start. This will ensure that the driver drives any vehicle for only a limited time per day. Hence, the driver would not be exhausted and the risk of accidents will automatically decrease. Since the driver's NFC Key/Card remains the same for all vehicles, hence total time for which the driver has driven can be easily calculated. This data is even synced to the cloud and can be viewed by Transport System owners. Additionally, a python-based system is also designed to check drowsy drivers based on the facial features extracted which will add more efficiency to the system and make it robust.
A Novel Advanced Approach Using Morphological Image Processing Technique for Early Detection of Diabetes Retinopathy

Diabetic retinopathy (DR) is a common complication of diabetes mellitus and can lead to irreversible blindness. To date, DR is the leading cause of blindness and visual impairment among working adults globally. However, this blindness can be prevented if D R is detected early. Diabetes mellitus slowly affects the retina by damaging retinal blood vessels and leading to microaneurysms. The retinal images give detailed information about the health status of the visual system. Analysis of retinal image is important for an understanding of the stages of Diabetic retinopathy. Microaneurysms observed that appear in retina images, usually , the initial visible sign of DR, if detected early and properly treated can prevent DR complications, including blindness. In this research work, an advanced image modal enhancement comprises of a Contrast Limited Adaptive Histogram Equalization (CLAHE), through morphological image, processing technique with final extraction algorithm is proposed. CLAHE is responsible for the detection, and removal of the retinal optical disk. While the microaneurysm initial indicators are detected by using morphological image processing techniques. The extensive evaluation of the proposed advanced model conducted for microaneurysm detection depicts all stages of DR with an increase in the number of data set related to noise in the image. The microaneurysms noise is associated with stage of retina diseases as well as its early possible diagnosis. Evaluation is also conducted against the proposed model to measure its performance in terms of accuracy, sensitivity as well as specificity in real -time. The results show the test image attained 99.7% accuracy for a real-time database that is better compared with anty colony-based method. A sensitivity of 81% with a specificity of 90% was achieved for the detection of microaneurysms for the e-optha database. The detection of several microaneurysms correlates with stages of DR that prove an analysis of detecting its different stages. This study aimed at early detection of DR with high performance in accuracy. Waheed Sanya, Gaurav Bajpai, Maryam Amour, Mahmoud Alawi & Ali Adnan International Journal of Image Processing (IJIP), Volume (15) : Issue (3) : 2021 23 ISSN: 1985-2304, https://www.cscjournals. org/journals/IJIP/description.php
ANALISYS ON EFFECT OF PLACEMENT AND MOTIVATION TO WORK ON THE PERFORMANCE OF EMPLOYEES IN PT GARUDA INDONESIA (Persero) Tbk

This research was conducted at PT Garuda Indonesia (Persero) Tbk Branch Office, Jakarta. This study aims to determine the effect of variable placement and motivation of employees working on the performance of employees. The independent variables in this study consisted of educational background (X1), the suitability of skills with job motivation (X2) and long working experience or (X3). While the dependent variable is employee job performance (Y). This research is a descriptive correlational. There are 248 persons of research population, and using random sampling approach. Research instrument used was a questionnaire. Data analysis used is multiple linear regression analysis and using SPSS for Windows version 13.0. With this research will illustrate the correlation between educational background (X1), the suitability of skills with job motivation (X2) and long working experience or (X3) as a variable in the placement of employees in PT. Garuda Indonesia (Persero) Tbk Branch Office in Jakarta on employee job performance (Y).
Repercussions and Mitigation of Heat Stress in Poultry: A review

To achieve successful poultry production and welfare, it is critical to understand and control environmental variables. Heat stress is one of the most important environmental stressors that poultry industries face around the world. Heat stress has a variety of negative impacts on broilers and laying hens, ranging from lower growth and egg production to decreased quality and safety of poultry and eggs. Hence, the harmful effects of heat stress on poultry welfare have recently raised public awareness and concern. Therefore, it is important to focus on intervention strategies to deal with heat stress conditions, which use a variety of approaches, such as environmental management, nutritional manipulation and genetic modifications. This could aid in the development of poultry industry in hotter environmental conditions. Sushma1; Parvati Sharma2* 1Department of Zoology and aquaculture, CCS Haryana Agricultural University, Hisar (Haryana), India. 2Department of Zoology, Chaudhary Bansi Lal University, Bhiwani (Haryana), India.
Effect of a multienzyme complex and a probiotic in laying hens fed sorghum-soybean-canola diets

This study aimed to evaluate the productive parameters and the concentrations of serum intestinal secretory IgA, cholesterol, LDL, and HDL of laying hens fed sorghum + soybean + canola diets with lower content of nutrients and added with a multienzyme complex (proteases, amylases, and xylanases) and a probiotic (Bacillus subtilis). A total of 180 Bovans White laying hens, between 42 and 54 wk of age, were randomly assigned to three treatments: 1) control diet; 2) low metabolizable energy diet (50 kcal/kg and 2 % of protein Rev Mex Cienc Pecu 2020;11(2):369-379 370 and methionine and lysine amino acids) + enzymes; 3) diet number two + probiotic. Productive performance results showed a significant difference (P<0.05) in egg weight between both treatments; treatment 3, added with the enzymes and probiotic, increased egg weight, compared to treatment 2. Humoral immunity, cholesterol, LDL, and HDL variables showed no statistical differences (P> 0.05) between treatments. This study demonstrates that low-nutrient (ME, protein, and lysine and methionine amino acids) diets added with a multienzyme complex and probiotic allow similar results in productive parameters compared to the control diet, and without changing intestinal immunity and levels of cholesterol, highand low-density lipoproteins in Bovans White hens.
Modeling Human Car-Following Behavior from Demonstration with Recurrent Neural Networks

—The validity of simulation testing for autonomous vehicles depends on the ability to accurately simulate human driving behavior. This project seeks to train a model on an individual’s driving data, and to test the ability of the model to predict trajectories that replicate the driver’s style by using the model in a realistic simulated environment. Speciﬁcally, we deployed Recurrent Neural Network (RNN) modeling techniques to create a black-box model of an individual’s driving behavior. We use our RNN-trained model to simulate a human-driven vehicle in the Robot Operating System (ROS) based CAT Vehicle simulator for autonomous vehicle validation. We hope this work is a step to improve testing environments for validating human behavior replicating car-following models and thereby improve testing environments for autonomous vehicles in general.
OPTH_A_254909 1705..1713

Department of Ophthalmology, Faculty of Medicine, Minia University, Minia, Egypt Purpose: To investigate macular structural and microvascular changes in retinitis pigmentosa (RP) eyes compared to age-matched controls using spectral domain optical coherence tomography (SD-OCT) and OCT angiography (OCTA). Methods: This was a cross-sectional study. The foveal and parafoveal thickness and extent of ellipsoid zone (EZ) disruption were measured on OCT. The foveal avascular zone (FAZ) area and retinal vessel density (VD) were automatically calculated for superficial (SCP) and deep capillary plexuses (DCP) and choriocapillaris using OCTA-integrated software. VD was assessed for the whole 6 × 6 mm image, foveal and parafoveal regions. Quantitative measures were compared between healthy and diseased eyes. Results: The study included 30 eyes of 30 RP patients and 24 eyes of 24 controls. Mean age was 26.9±6.4 years for RP patients and 27.4±4.9 years for controls (p=0.76). Mean LogMAR visual acuity (VA) was 0.9±0.5 for RP patients and 0.05±0.05 for controls (p <0.001). Foveal and parafoveal thicknesses were significantly lower in RP cases as compared to the control group. EZ disruption was observed in RP cases only (869±211 μm). Mean FAZ area was significantly larger in RP eyes in both SCP and DCP. VD was significantly reduced in RP eyes at the level of SCP, DCP and choriocapillaris. VA, deep parafoveal VD, foveal, parafoveal and whole image choriocapillaris VD were negatively correlated with the extent of EZ disruption. Conclusion: We report OCTA findings in a relatively young cohort of RP patients. We demonstrated a reduction of retinal microvascular density in all studied layers on OCTA. We believe studying retinal vasculature in these patients is important, as a healthy blood supply is a prerequisite for the success of new cell-based therapies under trial for RP.
THE STAGES OF FIRM LIFE CYCLE AND CAPITAL STRUCTURE RATIOS FOR COMPANIES OF INDUSTRY

This paper presents research on the dependency between the particular stages of a firm’s life cycle and selected capital structure ratios. The findings are in line with the pecking order theory of capital structure, stating that early stages of a firm’s life cycle should be characterised by the tendency for financing through debt. However, this stands in opposition to both the trade-off theory, and the research conducted on several Polish companies. The enterprises in their stages of introduction and growth were characterised by a substantially lower level of total assets to shareholders' equity ratio in their sources of finance, when compared to those in the shake-out stage. The companies in their growth stage were marked by a significantly higher level in the share of long-term commitments in sources of finance, as compared to the enterprises in their maturity, shake-out and decline stage. Also, the introduction stage showed a significantly higher level in the share of short-term commitments in sources of finance, in comparison with those being in their growth, maturity, and shake-out stage.
CMAR_A_250071 4625..4631

Xin Chen 1 Chuangen Guo 2 Wenjing Cui Ke Sun Zhongqiu Wang Xiao Chen 1Department of Radiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 2100029, People’s Republic of China; 2Department of Radiology, The First Affiliated Hospital, College of Medicine Zhejiang University, Hangzhou 310003, People’s Republic of China; 3Department of Pathology, The First Affiliated Hospital, College of Medicine Zhejiang University, Hangzhou 310003, People’s Republic of China Purpose: CD56 is a neural cell adhesion molecule that plays a role in the cohesiveness of neuroendocrine cells. The aim of this study was to explore the biological values of CD56 expression in pancreatic neuroendocrine neoplasms (PNENs) and its role in predicting PNENs grades. Patients and Methods: A total of 138 patients with histological-proven PNENs was included (66 G1, 46 G2 and 26 G3). The clinicopathological characteristics, including mitosis count, ki67 index, chromogranin A (CgA), synaptophysin (Syn) and CD56 expression, were evaluated. We assessed the diagnostic performance of markers in predicting PNEN G3 and the association between CD56 expression and risk of G3 or organs invasion. Results: Lack of CD56 immunoreaction (CD56-) was more common in PNEN G3 than G1/ G2 (31% vs 0–2%, p < 0.01). The sizes of CD56tumors were larger than CD56 positive tumors in PNEN G3 (p < 0.01). The odds ratio (OR) of CD56expression was 13.6 [95% confidence interval (CI): 2.1–88.1] in predicting PNEN G3. The OR of CD56expression was 6.5 (95% CI: 1.1–38.6) and 31.9 (95% CI: 1.09–938.3) in predicting organs invasion and neuroendocrine carcinoma in PNEN G3, respectively. Tumor size (area under the curve [AUC] = 0.77 and size+CD56expression [AUC = 0.84]) had acceptable performance in predicating PNEN G3. Conclusion: Lack of CD56 immunoreaction may be a predictor and biological behavior marker for PNEN G3.
Enteric Bacteria in Aquatic Ecosystems

were prepared from two enteric bacterial species, Escherichia coli and Enterococcus faecalis. Counts of CFU of NSB and RSB and total numbers of RSB and FLB were monitored over time, both in the presence and in the absence of natural microbiota. In the presence of natural microbiota, no differences were observed between CFU counts of NSB and RSB, but RSB total numbers were 1 to 4 orders of magnitude higher than CFU numbers. Therefore, the use of standard bacteriological media causes an important underestimation of the total number of enteric bacteria. In the absence of natural microbiota, the total numbers of NSB, RSB, and FLB remained constant over time. These results showed that RSB are a reliable indicator of the decay in both the total number and the CFU of enteric bacteria in natural water samples. By using RSB, enteric bacteria were classified as culturable cells, nonculturable cells (or somnicells), and dead cells in the presence of natural microbiota. In the presence of natural microbiota, differences between RSB and FLB direct counts were detected for E. coli, but not for E. faecalis. These differences were explained by size-selective grazing. Thus, protistan grazing was found to be the main cause of the decrease in total numbers of enteric bacteria in our experiments.
SMART ATTENDANCE APPLICATION -‘SOLUTION TO PHOTO ATTACKS PROBLEM’

— Face recognition is one of the most necessary application of image analysis and has gained significant attention. It has seen wider use in recent times on mobile solutions. Analysis within the field of automatic face platform and in different sorts of technology has been conducted since the 1960s, but it’s generally used as an access management. This study is to propose an answer to the matter of security system and might be compared to different photograph attacks in face recognition system by finding pattern in eyes (closed or open) to differentiate system. Recently, it’s conjointly became widespread as a difference between a true external body and a photograph.
Hemopatch® as a New Dural Sealant in Posterior Fossa Neurosurgery; A Clinical Application Observation

Hemopatch as a new dural sealant in posterior fossa neurosurgery; a clinical application observation. Objectives: We analyzed our results using Hemopatch as a new dural sealant after neurosurgical procedures via the retrosigmoid approach. Patients and methods: In our prospective single center study, we analyzed all patients (288) who received a retrosigmoid craniotomy between October 2016 and December 2019. We included 161 (55.9%) female and 127 (44.1%) male patients. The mean age at time of surgery was 56 years (4-83 years). We included emergency and elective surgical procedures. We did not exclude any type of underlying pathology. We took note of the general patient data, the size of Hemopatch and TachoSil used, the type of dural closure, and the postoperative stay. Additionally, we recorded the type of dural closure (watertight/ watertight with additional muscle patch/ not watertight with small or large defect (>1cm) remaining) and of preand postoperative hydrocephalus. Results: Indication for surgery was hemifacial spasm in 134 (46.6%) patients, trigeminal neuralgia in 71 (24.7%) patients, vestibular schwannoma in 53 (18.4%) patients, meningioma in 15 (5.2%) patients, epidermoid in 8 (2.8%), and miscellaneous conditions in 7 (2.4%) patients ( (brainstem glioma, sarcoma, plasmocytoma, metastases, and vascular compression of the lower nerve group). TachoSil was used in 224 (77.8%) cases and Hemopatch was used in 39 (13.5%) cases. TachoSil was used in 40.6% for watertight sutures, in 50% for dural sutures with small defects and in 9.4% for complex dura plastics. Hemopatch was used in 20.5% for watertight sutures, in 38.5% for dural sutures with small defects and in 41% for complex dura plastics. A fistula occurred with Tachosil in 6.2% and with Hemopatch in 1.4% of cases.
Two new psathyrelloid species of Coprinopsis (Agaricales, Psathyrellaceae) from China

Abstract In this study, Coprinopsisjilinensis and Coprinopsispusilla were introduced, based on their morphological characteristics, the internal transcribed spacer (ITS) and large subunit ribosomal (LSU) region sequences of nrDNA. These new psathyrelloid species were found in Jilin Province, China. Coprinopsisjilinensis has brown pileus, utriform pleurocystidia, brown, smooth, dextrinoid basidiospores and tiny pore. It mainly grows on humus. Coprinopsispusilla has small basidiomata, greyish-white pileus, thick and distinct veil at edges, subcolourless and verrucose basidiospores. It is poreless and it grows on the decaying wood of broad-leaved trees. Both of them belong to the C.sect. Melanthinae. A supplementary description of C.sect. Melanthinae was given in combination with the newly-discovered taxa and an identification key to the fourteen psathyrelloid species of Coprinopsis is provided. Coprinopsissect.Canocipes and C.sect. Quartoconatae were evaluated and the phylogenetic position of the psathyrelloid species of Coprinopsis was discussed. Psathyrellasubagraria, as a confusing species, was also discussed in this study.
Effect of Leadership Styles on Organizational Citizenship Behavior and Employee Turnover Intention

ARTICLE DETAILS ABSTRACT History Revised format: May 2020 Available Online: June 2020 The study is aimed at finding the effect of leadership styles on organizational citizenship behavior and employees’ turnover intentions. A descriptive survey research strategy was adopted over a sample of 240 respondents selected conveniently from eight universities of Pakistan. Multifactor Leadership Scale developed by the Williams and Anderson (1991) was used for data collection. Turnover Intention Scale developed by Roodt (2004) was used to determine employee turnover intention. Descriptive statistics along with ANOVA were used to analyze the data. The research indicated that transformational and transactional style of leadership have a positive relationship with organizational citizenship behavior whereas, laissez faire style has a negative relation with organizational citizenship behavior and positively related with employee turnover intention. Transformational and transactional style of leadership had an insignificant relation with employee turnover intention.
THEORETICAL ESSAY ON THE COGNITIVE BIASES IN JUDGMENTS OF FINANCIAL STATEMENT PREPARERS

For the development of accounting theory, it is important to identify and discuss behavioral aspects that may influence the judgment and decision making process of financial statement preparers. The study is characterized as a theoretical essay, as it addresses the cognitive effects that can affect this process. The main contribution of this method is to jointly consider separate theoretical pieces and to contemplate an integrative perspective. Several accounting practices can generate cognitive biases, however, in this essay, only the biases arising from practices that allow these judgments will be dealt with, disregarding those not arising from the behavior of these professionals. These are cognitive effects that can affect the behavior of preparers: impulsiveness, lack of skepticism, natural optimism and pessimism, familiarity, adjustment heuristic, overconfidence, loss aversion, change aversion and task complexity. These aspects may lead to a lack of comparability in judgments made by individuals through judgments that differ according to the personality traits of the decision makers. Reflection on the discussion of these behavioral aspects applied to accounting contributes to the development of accounting as a science by integrating psychology with accounting science. For these aspects, questions are elaborated that can be adopted in future studies, by conducting semi-experiments with accounting professionals.
Memcached, Redis, and Aerospike Key-Value Stores Empirical Comparison

The popularity of NoSQL database and the availability of larger DRAM have generated a great interest in in-memory key-value stores (kv-store) in the recent years. As a consequence, many similar kv-store store projects/products has emerged. Besides the benchmarking results provided by the KV-store developers which are usually tested under their favorable setups and scenario, there are very limited comprehensive resources for users to decide which kv-store to choose given a specific workload/use-case. To provide users with an unbiased and up-to-date insight in selecting in-memory kv-stores, we conduct a study to empirically compare Redis, Memcached and Aerospike on equal ground by trying to keep the default configuration for each database and fair setups (single and cluster mode) and well-rounded workloads (read-heavy, balanced, and write-heavy). We also present our insights not only as performance results and analyses but also as lessons learned and our experience relating to the setup, configuration, and compatibility of some kv-store we have considered.