Miracle-dz/UniFAR-FTUs huggingface dataset:
EKONOMİK KALKINMADA BEŞERİ SERMAYENİN ROLÜ VE TÜRKİYE

Bireysel ozgurlukler ve demokrasi hizla tum ulkelere yayilmaktadir. Bu gelismelerin bir sonucu olarak hukumetler, vatandaslarinin refahini artirmaya yonelik calismalara agirlik vermektedirler. Toplumun refah artisi ise ekonomik kalkinmayi gerektirmektedir. Ancak ekonomik kalkinma, populist politikalarla degil, ekonomik kalkinmanin temelinde yatan dinamiklerin harekete gecirilmesiyle mumkun olabilmektedir. Bu temel dinamiklerden birisi ise teknolojik gelismedir. Teknolojinin uretim surecinde kullanilmasi, ekonomik kalkinmayi saglayan faktor verimliliginin yukselmesine yol acmaktadir. Teknoloji uretimi, teknolojinin uretim surecinde kullanimi ise beseri sermayeyle mumkun olmaktadir. Turkiye gibi gelismekte olan ulkelerin ekonomik kalkinmasini gerceklestirebilmesi, oncelikle beseri sermayelerini gelistirmelerine baglidir. Turkiye’de beseri sermayenin kalitesi artirilamadigi surece AR-GE faaliyetlerine kaynak ayrilmasinin da bir anlami olmayacaktir. Dolayisiyla, beseri sermayenin kalitesinin artirilabilmesi icin kaynak ayrilacak oncelikli alan egitim olmalidir. Egitimin ise daha genis bir kesime, daha kaliteli verilmesi gerekmektedir. Universite egitiminin daha genis kitlelere ulastirilmasi, kapasitelerinin artirilmasi, yeni universitelerin kurulmasi; issizlerin vasiflarinin ulkenin ihtiyac duyulan isgucu vasiflariyla ortusturulmesi; surekli egitim programlariyla, calisan kesimlerin meslek ici egitim faaliyetleriyle vasiflarinin iyilestirilmesi; kadinlarin meslek edindirme kurslariyla isgucune katilimlarinin saglanmasi amaclanmalidir. Kisacasi, beseri sermaye gunumuz icsel buyume modellerinin temelini olusturdugundan, Turkiye, yasam boyu ogrenme kulturunu her alanda ve toplumun tum bireylerini kapsayacak bicimde hayata gecirmeyi hedeflemelidir. Calismanin amaci, beseri sermaye kavramini, beseri sermaye ile ekonomik kalkinma iliskisini, Turkiye’nin kalkinma sorununu ve beseri sermaye acisindan durumunu diger ulkelerle karsilastirarak incelemektir. Calismada, daha once konu ile ilgili yapilmis olan teorik calismalara ve ampirik calismalarin bulgularina yer verilmekte, daha sonra ekonometrik bir model cercevesinde, 177 Birlesmis Milletler uyesi ulke verileri kullanilarak, beseri sermaye ve ekonomik kalkinma iliskisi coklu dogrusal regresyon modeli kullanilarak bir kesit calismasiyla test edilmektedir. Calisma, ekonomik kalkinma icin beseri sermayenin onemini ortaya koymaktadir.
Improving the Performance of Chip Multiprocessor by Delayed Write Drain and Prefetcher based Memory Scheduler

To improve the performance and energy consumption of chip multiprocessor (CMP) system, memory request serving latencies should be minimized. These latencies can be minimized by scheduling appropriate memory command at appropriate time. This paper proposes a scheduler that reduces latency related to serving memory read requests by delaying switching into write drain mode when memory traffic is not heavy and write queue is not full. Memory reads are more important to handle than memory writes for system's performance. Further precharge and activate operations are performed using constant stride prefetcher. In idle memory cycles the scheduler issues row precharge commands using cache prefetching technique based on Global History Buffer. Authors in [1] have used stride detector and Global History Buffer based speculative precharges and activates, but they treat memory reads and memory writes equally. Whereas, proposed scheduler in this paper prioritizes reads over writes for better system performance. Our evaluations show that proposed scheduling policy significantly outperforms previous schedulers [1], [2] in varied multicore environments in terms of performance as well as energy consumption. Across a wide range of workloads based on PARSEC benchmark suite, proposed policy improves systems performance by 2.51%, on 2-core, 0.012% on 4-core environment in comparison to scheduler proposed in [1].
DNPU: An Energy-Efficient Deep-Learning Processor with Heterogeneous Multi-Core Architecture

An energy-efficient deep-learning processor called DNPU is proposed for the embedded processing of convolutional neural networks (CNNs) and recurrent neural networks (RNNs) in mobile platforms. DNPU uses a heterogeneous multi-core architecture to maximize energy efficiency in both CNNs and RNNs. In each core, a memory architecture, data paths, and processing elements are optimized depending on the characteristics of each network. Also, a mixed workload division method is proposed to minimize off-chip memory access in CNNs, and a quantization table-based matrix multiplier is proposed to remove duplicated multiplications in RNNs.
Cutting Diamonds: Temporal DLs with Probabilistic Distributions over Data

Recent work has studied a probabilistic extension of the temporal logic LTL that refines the eventuality (or diamond) constructor with a probability distribution on when will this eventuality be satisfied. In this paper, we adapt this notion to a well established temporal extension of DL-Lite, allowing the new probabilistic constructor only in the ABox assertions. We investigate the satisfiability problem of this new temporal DL over equiparametric geometric distributions.
Life‐history correlations change under coinfection leading to higher pathogen load

The ability of a parasite strain to establish and grow on its host may be drastically altered by simultaneous infection by other parasite strains. However, we still lack an understanding of how life‐history allocations may change under coinfection, although life‐history correlations are a critical mechanism restricting the evolutionary potential and epidemiological dynamics of pathogens. Here, we study how life‐history stages and their correlations change in the obligate fungal pathogen Podosphaera plantaginis under single infection and coinfection scenarios. We find increased pathogen loads under coinfection, but this is not explained by an enhanced performance at any of the life‐history stages that constitute infections. Instead, we show that under coinfection the correlation between timing of sporulation and final pathogen load becomes positive. The changes in pathogen life‐history allocations leading to more severe infections under coinfection can have far‐reaching epidemiological consequences, as well as implication for our understanding of the evolution of virulence.
Improved Convolutional Neural Network for Chinese Sentiment Analysis in Fog Computing

Fog computing extends the concept of cloud computing to the edge of network to relieve performance bottleneck and minimize data analytics latency at the central server of a cloud. It uses edge nodes directly to perform data input and data analysis. In public opinion analysis system, edge nodes that collect opinions from users are responsible for some data filtering jobs including sentiment analysis. Therefore, it is crucial to find suitable algorithm that is lightweight in operation and accurate in predictive performance. In this paper, we focus on Chinese sentiment analysis job in fog computing environment and propose a non-task-specific method called Channel Transformation Based Convolutional Neural Network (CTBCNN) for Chinese sentiment classification, which uses a new structure called channel transformation based (CTB) convolutional layer to enhance the ability of automatic feature extraction and applies global average pooling layer to prevent overfitting. Through experiments and analysis, we show that our method do achieve competitive accuracy and it is convenient to apply this method to different cases in operation.
Magnetostrictive Properties of Mn0.70Zn0.24Fe2.06O4 Ferrite

This paper presents the results of measurements of magnetostrictive properties of Mn0.70Zn0. 24Fe2.06O4 ferrite for power applications. Frame-shaped samples were used for measurements to guarantee a uniform magnetizing field and magnetostrictive strain distribution. Magnetostrictive hysteresis loops were measured by semiconductor strain gauges. The results indicate that the magnetostrictive characteristic of Mn0.70Zn0. 24Fe2.06O4 ferrite is non-monotonic and magnetostriction changes have opposite signs for higher values of the magnetizing field.
Effect of Natural Food Antioxidants against LDL and DNA Oxidative Changes

Radical oxygen species formed in human tissue cells by many endogenous and exogenous pathways cause extensive oxidative damage which has been linked to various human diseases. This review paper provides an overview of lipid peroxidation and focuses on the free radicals-initiated processes of low-density lipoprotein (LDL) oxidative modification and DNA oxidative damage, which are widely associated with the initiation and development of atherosclerosis and carcinogenesis, respectively. The article subsequently provides an overview of the recent human trials or even in vitro investigations on the potential of natural antioxidant compounds (such as carotenoids; vitamins C and E) to monitor LDL and DNA oxidative changes.
NOA: A Middleware to Maximize the OpenDaylight SDN Controller Orchestration Perspectives

In the Software-Defined Networking (SDN) context, SDN controllers are expected to provide an efficient network infrastructure management to increase the ubiquity of the control plane. In light of this, this paper puts forward the Network Orchestration Agent (NOA), which is a middleware for the OpenDaylight controller that provides a set of functionalities to improve the amount of information made available to the applications. NOA employs dynamically defined filtering rules for this purpose, which significantly reduce the number of event messages for external management entities, such as orchestrators. The results of the assessment, that was conducted through scalability perspectives in arbitrary topology sizes, demonstrated the feasibility and effectiveness of NOA compared with the original OpenDaylight implementation.
UN SDGs Shaping Sustainable Supply Chains: The Case of Apparel Manufacturers in Developing Countries

Social sustainability dimension in the supply chains has been addressed scarcely and very differently across the time in Sustainable Supply Chain Management (SSCM) literature. Hence, the necessity of addressing social sustainability in different supply chains has been addressed by the scholars over the years. Meanwhile, the United Nations expect sustainable development across the globe by 2035 by introducing the Sustainable Development Goals (UN SDGs) in 2015. As a result, the tremendous responsibility falls upon the shoulders of the actors of supply chains spread across the globe since businesses play a major role towards the development of the world. Hence, this research attempts at studying how the integration of UN SDGs and supply chain practices of the suppliers in the developing countries lead to better sustainable apparel supply chains. A systematic literature review followed by interviews with experts in the apparel supply chains were conducted to gather data in this study. As a result, 11 sub-topics were identified under the social sustainability dimension of sustainable supply chains followed by best practices of the Sri Lankan apparel manufacturers who also played a major role as suppliers in the ethical global apparel supply chain. Hence this study presents social sustainability practices in depth from the perspective of UN SDGs setting example for any other labor-intensive supply chains.
Mango Grove Relevant Information Extraction Using GF-2 Satellite Data

The foundation of information extraction based on remote sensing imaging involves spectral band information. Such a method often suffers from the distinctive problem of surface features. In general, artificial orchard planting is relatively regular; thus, it shows textural features that differ from other vegetation types in images with a specific spatial scale. This study used mango groves as research object. By introducing spectral index, texture feature parameters, and by using support vector machine classification method, based on GF-2 satellite images, mango grove information extraction was studied under different combinations of spectra band, vegetation index, and texture feature parameters. The findings show that the information extraction via single spectra band information has lower accuracy. Introduction of a combination of spectra index and spectra band information can improve extraction accuracy of mango groves; however, the overall classification accuracy still remains low. In addition, the introduction of texture information and spectra band information combination can dramatically improve extraction accuracy. Producer's accuracy and user's accuracy increased to 85.7% and 93.5%, respectively. Under different combination modes, the extracted mango grove accuracy of the combination of integrated spectra band information, textural feature, and vegetation index is optimal. Producer's accuracy and user's accuracy increased to 89.3% and 97.4%, respectively. Relative to the spectra band information, the extraction accuracy improved by 20.6% and 11.0%, respectively. As a result, the support vector machine of integrated spectra and texture can effectively extract the spatial distribution information of mango groves. This method can provide a technical reference for remote sensing extraction of artificial orchards.
Rapid Effects of Sex Steroids on Zebra Finch (Taeniopygia guttata) Pair Maintenance

Although steroids are widely known to affect behavior through activation of nuclear/cytosolic receptors (“genomic” effects), steroids can also rapidly affect behavior via modulation of signal transduction pathways (“nongenomic,” fast actions, or rapid effects). In zebra finches, there is evidence that sex steroids have context-specific effects on pair-maintenance behavior, on both acute and chronic timescales. Here, we quantified the effects of orally administered testosterone and 17&bgr;-estradiol (E2) on pair-maintenance behavior. We show that E2 rapidly affects female, but not male, affiliative behavior profiles during a partner separation and reunion paradigm. More specifically, E2 rapidly (within 5–15 min of administration) increased females’ spatial proximity to a partner. This effect was present regardless of breeding condition (water restriction or water ad libitum). Combined, these results contribute to a growing body of evidence implicating sex steroids in the regulation of prosocial behavior.
Dissecting Aneurysm of Vertebral Artery Involving the Origin of Posteroinferior Cerebellar Artery Treated with Retrograde Stent Placement and Coil Embolization in the Era of Flow Diverter

Ruptured vertebral artery (VA) dissecting aneurysm carries high risk of rerupture and mortality if not treated immediately. Dissecting aneurysm of the VA involving the posteroinferior cerebellar artery (PICA) origin is difficult to treat by surgical and endovascular route. With the availability of flow diversion device for reconstructive procedure, endovascular treatment has now become easy to treat difficult aneurysm while maintaining the patency of the PICA. However, instead of using flow diverter (FD) in our case, we successfully treated dissecting VA aneurysm involving the PICA origin with retrograde stent placement from distal right VA to the left PICA to maintain the patency of PICA and occlusion of dissecting aneurysm of VA with detachable coils instead of performing surgical bypass and FD placement.
The nature and timing of distress among post‐treatment haematological cancer survivors

Many people with haematological cancers will not meet the diagnostic criteria for a psychological disorder, but will still suffer distress during treatment and beyond. The current study aimed to explore the nature and timing of psychosocial distress experienced by haematological cancer survivors. Twenty-three post-treatment haematological cancer survivors participated in a semi-structured interview. Data were analysed using thematic analysis which involved identifying, analysing and reporting themes. Four themes were identified: Apprehension about leaving the safety of the health care system comprises the struggles encountered when transitioning from patient to survivor, Uncertainty and life transitions in the post-treatment period encompasses the changes survivors face when attempting to re-enter their "normal" lives, Distress associated with ongoing physical problems or impairment describes issues associated with the ongoing physical sequelae, and Fear of recurrence encapsulates how the continuing threat of cancer recurrence impacted survivors. This study has found that distress is ongoing for many haematological cancer survivors in the post-treatment period. It is imperative that distress is identified and support offered to those in need to prevent further psychosocial issues. It is especially important to consider the psychosocial needs of survivors in the post-treatment stage who are discharged from the health system may be unsure where to seek help.
Morbidity Audit of 704 Traumatic Brain Injury Cases in a Dedicated South Indian Trauma Center

Background: In the era of evidence-based health care, protocol of intervention in traumatic brain injury (TBI) cases help decide more easily and safely about patients and prevent unnecessary transfer of patients to other centers. Objectives: The objective of this study is to provide protocol-based intervention and evaluate the epidemiological, clinical characteristics of TBI cases. Methods: This prospective study was conducted on 704 patients who were suspected of TBI at the Department of Neurosurgery, Narayana Medical College and Hospital, followed by protocol-based intervention assessed and reassessed repeatedly. Results: Overall, TBI involved 569 (80.82%) adults in the productive age groups (21–60 years); among males 81.47%. Among males, highest (23.15%) cases were in the age group of 31–40 years while in females, majority (27.04%) was among 41–50 years. Road traffic accidents were the most common (54.12%) mechanism of injury followed by fall (21.31%) and two-wheelers (15.20%). More than half sustained mild TBI (51.42%) while 26.28% moderate TBI and 22.30% severe TBI; among males, severe TBI victims 102 (18.82%) were in the productive age group. Loss of consciousness was almost a universal and significant observation (95.45%); vomiting was next common finding (76.42%). Bleeding from the ear-nose-throat (ENT) region was more in males (33.58%) than females (20.75%). Glasgow coma scale was significantly related with loss of consciousness (91.08%), vomiting (63.06%), and ENT bleeding (44.59%) in severe, moderate, and mild injuries. Conclusion: A rational clinical acumen with judicious use of diagnostic protocol leads to better management of TBI without unnecessary imaging and thus reduce total health-care costs.
The Suicide Risk Assessment and Management Manual (S-RAMM) Validation Study II

Abstract Objectives: Structured professional judgement is now the most widely accepted approach to clinical risk assessment and risk management. The Suicide Risk Assessment and Management Manual (S-RAMM) is a new structured professional judgement tool closely modelled on the HCR-20. This is the first prospective validation study for this instrument. Methods: Two post-membership registrars jointly interviewed 81 of 83 current inpatients to rate the S-RAMM. Two assistant psychologists independently rated the HCR-20, GAF and PANSS. All incidents of self-harm, attempted suicide, suicide and violence to others were collated from hospital reporting of critical incidents over the next six months supplemented by examination of other records. Results: For combined self-harm and suicide outcomes, the S-RAMM total score using the receiver operating characteristic had an area under the curve AUC=0.89, (95% CI 0.79 to 0.99). The S-RAMM performed as well for the prediction of self-harm and suicide as the HCR-20 did for violence, and better than measures of mental state (PANSS total score) and global function (GAF). Conclusions: The S-RAMM has better than minimum acceptable characteristics for use as a clinical or research tool for suicide risk assessment, and performs almost as well as the HCR-20 does for violence. Further prospective studies are now required, in other populations.
Minds and brains of media multitaskers: Current findings and future directions

Media and technology are ubiquitous elements of our daily lives, and their use can offer many benefits and rewards. At the same time, decisions about how individuals structure their use of media can be informed by consideration of whether, and if so how, the mind and brain are shaped by different use patterns. Here we review the growing body of research that investigates the cognitive and neural profiles of individuals who differ in the extent to which they simultaneously engage with multiple media streams, or ‟media multitasking. ” While the literature is still sparse, and is marked by both convergent and divergent findings, the balance of evidence suggests that heavier media multitaskers exhibit poorer performance in a number of cognitive domains, relative to lighter media multitaskers (although many studies find no performance differences between groups). When evidence points to a relationship between media multitasking level and cognition, it is often on tasks that require or are influenced by fluctuations in sustained goal-directed attention. Given the real-world significance of such findings, further research is needed to uncover the mechanistic underpinnings of observed differences, to determine the direction of causality, to understand whether remediation efforts are needed and effective, and to determine how measurement heterogeneity relates to variable outcomes. Such efforts will ultimately inform decisions about how to minimize the potential costs and maximize the many benefits of our ever-evolving media landscape.
Nucleic Acid-Dependent Structural Transition of the Intrinsically Disordered N-Terminal Appended Domain of Human Lysyl-tRNA Synthetase

Eukaryotic lysyl-tRNA synthetases (LysRS) have an N-terminal appended tRNA-interaction domain (RID) that is absent in their prokaryotic counterparts. This domain is intrinsically disordered and lacks stable structures. The disorder-to-order transition is induced by tRNA binding and has implications on folding and subsequent assembly into multi-tRNA synthetase complexes. Here, we expressed and purified RID from human LysRS (hRID) in Escherichia coli and performed a detailed mutagenesis of the appended domain. hRID was co-purified with nucleic acids during Ni-affinity purification, and cumulative mutations on critical amino acid residues abolished RNA binding. Furthermore, we identified a structural ensemble between disordered and helical structures in non-RNA-binding mutants and an equilibrium shift for wild-type into the helical conformation upon RNA binding. Since mutations that disrupted RNA binding led to an increase in non-functional soluble aggregates, a stabilized RNA-mediated structural transition of the N-terminal appended domain may have implications on the functional organization of human LysRS and multi-tRNA synthetase complexes in vivo.