Miracle-dz/UniFAR-FTUs huggingface dataset:
Brief Communication Clinical outcome of lymphadenectomy in malignant ovarian germ cell tumors: a systematic review and meta-analysis

: Malignant ovarian germ cell tumors (MOGCTs) are predominately diagnosed in young patients and account for most preadolescent malignant ovarian tumors. Currently, due to the high sensitivity of MOGCTs to chemotherapy and the optimal survival rate after chemotherapy, some researchers have recommended opting for non-surgical treatment. However, the effect of lymphadenectomy (LND) on the survival of patients with MOGCT remains controversial. We conducted a systematic review and meta-analysis to compare the clinical outcomes of LND and non-LND in MOGCT surgeries in order to summarize the clinical experience. PubMed, Embase, Web of Science, Cochrane Central Register of Controlled Trials (CENTRAL), International Clinical Trials Registry Platform (ICTRP), and Clinical Trials.gov were searched from inception to December 26, 2021. Data on the rates of survival, relapse, and adverse effects were evaluated using Review Manager software. Fourteen studies with 10,759 participants were included in this review. There were 5863 and 4896 patients in the LND- and LND+ groups, respectively. Pooled results showed that although disease-free survival (DFS) was significantly improved in the LND+ group compared to the LND- group (HR: 0.74; 95% CI: 0.56 to 0.97; 2091 participants), LND did not significantly affect overall survival (OS) (HR: 0.82; 95% CI: 0.51 to 1.31; 5298 participants). The operation time was significantly longer in the LND+ group than in the LND- group (P<0.001). Blood loss (P=0.004) and complication rate (P=0.003) were also significantly higher in the LND+ group than in the LND- group. There was no significant difference in mortality rate (P=0.500). LND was associ ated with an improvement in DFS. However, there was no significant difference in OS in MOGCTs. We recommend that LND should not be a routine surgery for children or young patients with MOGCTs; although it may be beneficial for older people, advanced stage pathological and non-chemotherapy patients.
CEO Overconfidence and Agency Cost of Debt : Evidence from Voluntary Turnovers

In the presence of outstanding risky debt, agency theory predicts that overconfident CEOs tend to underinvest less in growth firms and overinvest more in value firms relative to rational CEOs. We test this hypothesis in the context of CEO turnover. We do not find any significant announcement effect of voluntary turnover of an overconfident CEO in a growth firm. The announcement of voluntary turnover of an overconfident CEO in a value firm results in negative abnormal returns to stockholders and bondholders. This does not support the overinvestment hypothesis. We interpret our finding to be consistent with Campbell et al (2011) in that such CEOs display a degree of overconfidence in the value enhancing region and do not exceed the optimum overconfidence level.
EFFECT OF LEAF CHARACTERISTICS OF SWEET GOURD GERMPLASMS ON THE POPULATION ABUNDANCE AND INFESTATION OF EPILACHNA BEETLE

The phytophagous insect epilachna beetle ( Epilachna spp.) is a threat to the cultivation of different cucurbit crops including sweet gourd ( Cucurbita moschata ). Host plant itself can influence the infestation of insect by different means. Therefore, investigations were done on the population abundance and infestation level of epilachna beetle on sweet gourd and to find out the relationship between the abundance of the beetle and the morphological as well as biochemical characteristics of the leaves. The study was conducted in the field and laboratory of the Department of Entomology, Bangabadhu Sheikh Mujibur Rahman Agricultural University, Gazipur, Bangladesh from July 2018 to June 2019 with 12 sweet gourd germplasms. Among the germplasms, BD 264 showed the lowest abundance of grub (3.1±0.3 grubs/ 3 leaves), and BD 264 and BD 266 revealed statistically similar and the lowest abundance of the adult beetles (1.7±0.1 adults/ 3 leaves in both the cases). The level of leaf infestation among the germplasms varied significantly and ranged from 6.2% to 16.4%. The abundance of adult beetles was positively correlated with the number of leaf plant -1 , but leaf area and trichomes (r = -0.994 and -0.991 for BD 264 and BD 266, respectively) exerted negative relationship. Moisture (r = 0.998 for BD 269), total chlorophyll, reducing sugar and ash content (r = 0.997 for BD 269) in the leaves of the germplasms showed positive influence on the abundance of beetle, but protein content was negatively correlated. The leaf characteristics of sweet gourd which were found to be responsible to alter the infestation of Epilachna spp. can be incorporated in Integrated Pest Management (IPM) strategy.
Rui‐Wen Liu · Jian‐Zhen Yuan · Xiao‐Yu Li · Yan‐Nong Cui · Mei‐Mei Cai · Zi‐Hua He · Qing Ma

(AtALMT12), which is expressed in both guard cells and root steles, in root-to-shoot Cl− transport. Methods The expression of AtALMT12 under salt stress was analyzed. The salt tolerance, ion accumulation, and expression of key ion transport genes in roots were compared among wild-type, atalmt12 mutants, and ALMT12 complementation lines driven by a guard cell-specific or a root stele-specific promoter. Results The expression of AtALMT12 in roots was significantly induced by Cl−-salt treatment. The mutation of AtALMT12 significantly increased Cl− accumulation and decreased NO3 accumulation in shoots, and reduced plant’s tolerance to Cl−-salt stress. Complementation by AtALMT12 driven by a root stele-specific promoter restored the shoot Cl− and NO3 concentration of atalmt12 mutant to the wild-type level, while AtALMT12 expression driven by a guard cell-specific promoter had no such effect. Meanwhile, loss-of-function of AtALMT12 resulted in an increased expression of AtNPF7.2/NRT1.8 in roots under Cl−-salt stress. In addition, AtALMT12 mutation decreased shoot K+ concentration and the expression of AtSKOR in roots under high KCl treatment. Conclusions AtALMT12 participates in restricting root-to-shoot Cl− transport, and modulates NO3 accumulation in shoots under Cl−-salt stress, therefore plays an important role in salt tolerance. Meanwhile, AtALMT12 affects K+ accumulation in shoots under higher KCl condition. Abstract Purpose Controlling root-to-shoot Cl− transport to reduce Cl− accumulation in shoots is one of crucial mechanisms for salt tolerance of glycophytes, but the proteins directly involved in this process under salt stress are poorly reported. Here, we evaluated the role of Aluminum-activated Malate Transporter 12
The Relationship between Transformational Leadership and Affective Commitment and Intent to Leave the Organization

THE RELATIONSHIP BETWEEN TRANSFORMATIONAL LEADERSHIP AND AFFECTIVE COMMITMENT AND INTENT TO LEAVE THE ORGANIZATION: THE MEDIATING ROLE OF PSYCHOLOGICAL EMPOWERMENT by Neiry Lara The leadership style of organizational leaders has important implications for organizations and their employees. Transformational leadership has been studied extensively due to the numerous positive outcomes. Unfortunately, not much research has focused on the mediating mechanism between transformational leadership and outcomes. Therefore, the present study explored the mediating role of psychological empowerment on the relationship between transformational leadership and the outcomes of affective organizational commitment and turnover intentions. It was hypothesized that psychological empowerment would act as a mediator between transformational leadership and affective organizational commitment and turnover intentions. Results of an online survey from 111 employed individuals showed that psychological empowerment partially mediated the relationship between transformational leadership and affective organizational commitment and turnover intentions, particularly through the meaning and impact dimensions of psychological empowerment. The results of the present study suggest that management development programs should focus on having managers provide and shape positive work experiences that increase an employee’s sense of meaning and impact in their organization, if the goal is to increase employees’ commitment to the organization and decrease involuntary turnover
DSCC 2016-9801 NONLINEAR MODEL PREDICTIVE CONTROL STRATEGIES FOR A PARALLEL EVAPORATOR DIESEL ENGINE WASTE HEAT RECOVERY SYSTEM

This paper discusses the control challenges of a parallel evaporator organic Rankine cycle (ORC) waste heat recovery (WHR) system for a diesel engine. A nonlinear model predictive control (NMPC) is proposed to regulate the mixed working fluid outlet temperature of both evaporators, ensuring efficient and safe ORC system operation. The NMPC is designed using a reduced order control model of the moving boundary heat exchanger system. In the NMPC formulation, the temperature difference between evaporator outlets is penalized so that the mixed temperature can be controlled smoothly without exceeding maximum or minimum working fluid temperature limits in either evaporator. The NMPC performance is demonstrated in simulation over an experimentally validated, high fidelity, physics based ORC plant model. NMPC performance is further validated through comparison with a classical PID control for selected high load and low load engine operating conditions. Compared to PID control, NMPC provides significantly improved performance in terms of control response time, overshoot, and temperature regulation.
Invariance Explains Empirical Success of Many Intelligent Techniques

In many applications of intelligent computing, we need to choose an appropriate function – e.g., an appropriate re-scaling function, or an appropriate aggregation function. In applications of intelligent techniques, the problem of selecting an optimal function is usually too complex or too imprecise to be solved analytically, so the best functions are found empirically, by trying a large number of alternatives. In this paper, we show that in many such cases, the resulting empirical choice can be explained by natural invariance ideas. Example range from applications to building blocks of intelligent techniques – such as aggregation (including hierarchical aggregation) and averaging – to method-specific (polynomial fuzzy approach, pooling and averaging in deep learning) and domain-specific application, such as describing relative position of 2D and 3D objects, gauging segmentation quality, and perception of delay in public transportation.
Right to Know, Right to Refuse: Towards UI Perception-Based Automated Fine-Grained Permission Controls for Android Apps

It is the basic right of a user to know how the permissions are used within the Android app’s scope and to refuse the app if granted permissions are used for the activities other than specified use which can amount to malicious behavior. This paper proposes an approach and a vision to automatically model the permissions necessary for Android apps from users’ perspective and enable fine-grained permission controls by users, thus facilitating users in making more well-informed and flexible permission decisions for different app functionalities, which in turn improve the security and data privacy of the App and enforce apps to reduce permission misuses. Our proposed approach works in mainly two stages. First, it looks for discrepancies between the permission uses perceivable by users and the permissions actually used by apps via program analysis techniques. Second, it runs prediction algorithms using machine learning techniques to catch the discrepancies in permission usage and thereby alert the user for action about data violation. We have evaluated preliminary implementations of our approach and achieved promising fine-grained permission control accuracy. In addition to the benefits of users’ privacy protection, we envision that wider adoption of the approach may also enforce better privacy-aware design by responsible bodies such as app developers, governments, and enterprises.
Discrete formulation of envelope correlation coefficient for faster analysis in MIMO antenna systems

In this paper, an easy-to-program mathematical expression to compute the Envelope Correlation Coefficient (ECC) between two antennas by using their radiated electric fields at the far-field region is derived. The main advantage of the resulting algorithm is its higher speed to obtain results compared to those used in commercial software. This novel approach presents a discrete equation that can be employed after obtaining the electric field in spherical coordinates by computer simulations. Thus, another alternative arises to report this metric for low or high radiation efficiency antennas, instead of the less accurate S-parameter-based equation, which does not ensure high accuracy when low radiation efficiency antennas are under study. A comparison between the presented algorithm and the results given by commercial software is shown and discussed, in which is clearly observed that the results are greatly convergent, but with the advantage of achieving a lesser time computing period by the proposed method.
Giant Cell Fibroblastoma in a Little Girl: A Case Report Case

Giant cell fibroblastoma (GCF) is an intermediate grade soft tissue sarcoma with a high incidence of local recurrence. It usually occurs in children during the first decade of life. This lesion is often misdiagnosed because of its variegated appearance. Here we present the case of a 2 and half -year-old girl who presented with a voluminous painless mass of the left gluteal region, previously misdiagnosed and treated as a hemangioma. CT scan showed marked peripheral enhancement and wide surgical excision with 2 cm margins was performed for final diagnosis. Slit like sinusoidal spaces lined by giant cells and staining for vimentin were highly contributive for GCF. Internal margins were microscopically unclear. No clinical recurrence has been noted within 4 weeks after surgery. Despite its rarity and non-specific findings, this lesion merits a high index of suspicion to reduce misdiagnosis and to manage it in an early stages with clear surgical margins. A best coordination between radiologists and pathologists is needed to highlight the role of imaging studies in the preoperative diagnosis of GCF.
TreeLine: An Update-In-Place Key-Value Store for Modern Storage

Many modern key-value stores, such as RocksDB, rely on log-structured merge trees (LSMs). Originally designed for spinning disks, LSMs optimize for write performance by only making sequential writes. But this optimization comes at the cost of reads: LSMs must rely on expensive compaction jobs and Bloom filters---all to maintain reasonable read performance. For NVMe SSDs, we argue that trading off read performance for write performance is no longer always needed. With enough parallelism, NVMe SSDs have comparable random and sequential access performance. This change makes update-in-place designs, which traditionally provide excellent read performance, a viable alternative to LSMs. In this paper, we close the gap between log-structured and update-in-place designs on modern SSDs with the help of new components that take advantage of data and workload patterns. Specifically, we explore three key ideas: (A) record caching for efficient point operations, (B) page grouping for high-performance range scans, and (C) insert forecasting to reduce the reorganization costs of accommodating new records. We evaluate these ideas by implementing them in a prototype update-in-place key-value store called TreeLine. On YCSB, we find that TreeLine outperforms RocksDB and LeanStore by 2.20× and 2.07× respectively on average across the point workloads, and by up to 10.95× and 7.52× overall.
Théorèmes limites pour des martingales vectorielles en temps continu et applications statistiques

Cette these se compose de trois parties. Dans la premiere partie, en utilisant les theoremes limites par moyennisation logarithmique pour des martingales continues en temps continu, on construit un estimateur du couple $(\theta,\sigma^{2})$ pour un modele autoregressif gaussien stable a temps continu et on montre que cet estimateur est asymptotiquement distribue comme un couple de variables aleatoires gaussiennes independantes quelle que soit la loi de l'\etat initial $X_{0}$. La deuxieme partie est consacree a etablir des resultats autour du theoreme limite presque-sure pour des martingales vectorielles quasi-continues a gauche en temps continu et a croissance explosive ou mixte. On applique les resultats obtenus au modele d'Ornstein-Uhlenbeck bivarie utilise en modelisation biologique et en mathematiques financieres. Dans la derniere partie, on etablit pour l'estimateur des moindres carres $\hat{\theta}$ de $\theta$ d'un modele autoregressif gaussien a temps continu non necessairement stable, un theoreme limite centrale presque-sure (TLCPS), une loi forte quadratique associee au TLCPS et un theoreme de la limite centrale logarithmique. Dans le cas stable, on propose d'utiliser l'estimateur des moindres carres pondere $\tilde{\theta}$ de $\theta$ pour ameliorer les vitesses de convergence logarithmique dans les theoremes obtenus. Dans le cas instable, on etablit, pour l'estimateur des moindres carres $\hat{\theta}$, les memes type de proprietes asymptotiques avec une vitesse de convergence arithmetique.
Instruction of Molecular Structure Similarity and Scaffolds of Drugs Used in Ebola Virus Treatment by Atom Pair and Scaffold Network Graph Algorithm: a Combination of Favipiravir and Molnupiravir (preprint)

Drug-drug similarities play a very important role in modern medicine, chemistry, and biology. Having in-depth knowledge of the therapeutic structures of drugs aids wet laboratory work and can greatly improve drug research and development efficiency. Many computational methods have been developed for the analysis of such drug similarities. One of the diseases studied for treatment in this area is the Ebola virus. The Ebola virus is a deadly pathogen. Although many researchers around the world have made various efforts on this deadly pathogen, the mortality rate is quite high. Computational approaches are considered to be very useful for antiviral drug discovery. Developing specific antiviral drugs is expensive and takes a long time. By providing an opportunity for the rapid deployment of effective therapeutics, reusing FDA-approved drugs could provide treatments with known preclinical, pharmacokinetic, pharmacodynamic, and toxicity profiles that can enter clinical trials rapidly. The approach in this study is the idea that the combination of drugs may be more effective for the treatment of Ebola due to their similarities and similarities of drugs approved for Ebola, unlike previous studies. For this reason, similarity analyzes of drugs approved for the treatment of the Ebola virus or investigated in clinical studies were performed with the Atom Pair fingerprint algorithm. Then, molecule and infrastructure molecular scaffolds of the drugs selected according to this similar result were created with Scaffold Network Graph (SNG) algorithms and drug structures were analyzed. Public databases (PubChem, DrugBank) and drugs published in the literature for the treatment of Ebola were used for analysis. The molecular, molecular infrastructure and core structures of the drugs that show the most similarity to the FDA approved drugs, which were analyzed with the Scaffold Network Graph algorithm, are shown graphically. When these results were evaluated, it was seen that a combination of Favipiravir, which has also been used in previous outbreaks, and Molnupiravir, which is currently the first approved oral drug candidate for COVID-19, could be effective in the treatment of Ebola. We also think that knowing the chemical structure similarities of drugs currently used to develop other drugs or drug combinations, their inhibitors, and the core structure or structures in drug molecules that are effective against the Ebola virus will be beneficial for chemists.
TELKOMNIKA Telecommunication Computing Electronics and Control

Received Dec 26, 2021 Revised Aug 24, 2022 Accepted Sep 03, 2022 Photovoltaic (PV) systems are being increasingly popular for power generation from solar radiation as the usage of renewable energy grows. To improve the efficiency, the system should operate at its the maximum power point. Hence, several algorithms have been developed for this purpose. Continuous tracking for the maximum power point often leads to heavy energy loss. Furthermore, partial shading can dramatically lower the performance of the system. A modified variable neighborhood search algorithm is proposed resulting zero oscillations around the operating point. A set of variables are used to improve the system’s configurability in various atmospheric and geographical conditions. Simulation result proves the operation of the proposed algorithm, its accuracy, and its fast response time.
Implication of the PAMELA antiproton data for dark matter indirect detection at LHC

Since the PAMELA results on the ``anomalously'' high positron fraction and the lack of antiproton excess in our Galaxy, there has been a tremendous number of studies advocating new types of dark matter, with larger couplings to electrons than to quarks. This raises the question of the production of dark matter particles (and heavy associated coloured states) at LHC. Here, we explore a very simple benchmark dark matter model and show that, in spite of the agreement between the PAMELA antiproton measurements and the expected astrophysical secondary background, there is room for large couplings of a WIMP candidate to heavy quarks. Contrary to what could have been naively anticipated, the PAMELA p̄/p measurements do not challenge dark matter model building, as far as the quark sector is concerned. A quarkophillic species is therefore not forbidden. Owing to these large couplings, one would expect that a new production channel opens up at the LHC, through quark-quark and quark-gluon interactions. Alas, when the PDF of the quark is taken into account, prospects for a copious production fade away.
Effect of different levels of sulphur and spacing on growth and yield of zaid sesame ( Sesame indicum L.)

A field experiment was conducted during zaid season of 2020, at the crop research farm of the Department of Agronomy at Sam Higginbottom Prayagraj with the objective to study the effect of different levels of Sulphur and Spacing on Growth, Yield and Economics of Zaid Sesame ( Sesame indicum L . ) with 2 different Spacing and 4 different levels of Sulphur. Maximum plant height (93.73cm), highest no. of branches (8.47),maximum dry weight (14.53), Maximum no. of capsules/plant (57.10), Highest no of seeds/capsule (50.2), test weight (2.67), Grain yield (1.156 kg/ha), Stover yield (2,076 kg/ha), Harvest index (41.00), Highest gross return (80,920 INR/ha), maximum net return (52,542 INR/ha), and Benefit: cost ratio (1.8) was recorded with the application of treatment no.8 RDF+ 35 S kg/ha + 45 X 10 cm Spacing. However, Highest crop growth rate (2.37) and relative growth rate (0.0040) were recorded with treatment no.9 i.e., control. Hence, concluded that treatment no. 8 RDF +35 S kg/ha + 45 X 10 cm spacing was economically sound, preferred for farmers.