nils-herrmann/clean_scirepeval huggingface dataset:
Condyloderes kurilensis sp. nov. (Kinorhyncha: Cyclorhagida) a new deep water species from the abyssal plain near the Kuril Kamchatka Trench
Venue: Russian Journal of Marine Biology

A new species of centroderid kinorhynchs, Condyloderes kurilensis sp. nov. collected from muddy sediment at the abyssal plain near the Kuril Kamchatka Trench, North West Pacific, is described and illustrated using light and electron microscopy. Previously, members of the genus Condyloderes were found only in nearly shallow water enviroments C. multispinosus (North Sea) C. paradoxus (Bengal Bay) C. setoensis (Tanabe Bay, Japan) C. storchi (Argentina coast) and C. megastigma (Korea Strait) The new species is characterized by the presence of lateroventral cuspidate spines only on trunk segment 8 in both sexes, paired ventromedial appendages (tubules) on trunk segments 7 and 8 in females only, and dorsolateral spines on trunk segment 10 in males only. Condyloderes kurilensis sp. nov. constitutes the sixth species of the genus Condyloderes described so far and the only second abyssal species of the Kinorhyncha described from the North West Pacific. A key to the six species of the genus Condyloderes is proposed.
Correction to van der Waals Heterostructures with High Accuracy Rotational Alignment.
Venue: Nano letters

Rotational Alignment Kyounghwan Kim, Matthew Yankowitz, Babak Fallahazad, Sangwoo Kang, Hema C. P. Movva, Shengqiang Huang, Stefano Larentis, Chris M. Corbet, Takashi Taniguchi, Kenji Watanabe, Sanjay K. Banerjee, Brian J. LeRoy, and Emanuel Tutuc*  2016, 16 (3) 1989 1995.  I our original publication, the right axis label of Figure 5f was shown as "JIL (nA/nm)" as a result of an inadvertent change during proof editing. The correct right axis label of Figure 5f is "JIL (nA/mm " as shown here.
Deep Learning for Stock Market Prediction Exploiting Time Shifted Correlations of Stock Price Gradients

Although the application of machine learning to financial time series in stock markets, as an enhancement of technical analysis, experienced an increased interest in the last decades, research on more recent techniques from the area of deep learning for this purpose, and for the testing of economic theory, remains sparse. More generally, a surge in research on deep layered models for time series analysis led to applications in a variety of fields, establishing this topic as a challenging subject. The first part of the tested hypothesis states that deep layered feedforward artificial neural networks are able to learn complex time shifted correlations between step wise trends of a large number of noisy time series, using only the preceding time steps' gradients as inputs. The second part states that such correlations are present in stock prices, and that these models can be used to predict changes in a price's trend based on other stocks' trend gradients of the previous time step, delivering empirical evidence against both the random market hypothesis and the efficient market hypothesis. In more narrowly defined terms, this applied part is situated at the intersection of computational finance and financial econometrics. Using the stocks of the S&P 500 Index as an experimental dataset, the models developed for this thesis are able to successfully predict trend changes based solely on information about other stocks' preceding gradients, with accuracies above chosen market baselines and adhering to methods used for a rigorous statistical validation of the results. Apart from the applicability of the investigated approach to a vast array of problems dealing with complex relationships between numerous and noise laden time series, this thesis presents compelling evidence against both economic hypotheses.
Application of singular spectrum analysis and kernel based extreme learning machine for stock price prediction
Venue: 2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE)

Stock prediction is known as one of the most challenging task in the field of time series analysis. Many existing studies emphasize only in improving accuracy, but not many are concerned about improving speed of the prediction. This paper proposes a stock prediction model using kernel based extreme learning machine with singular spectrum analysis (SSA KELM) as a preprocessing tool. The prediction performance of SSA KELM is compared to five other models. Three stock price data are used to evaluate the performance. The experimental results show that all SSA based models can outperform non SSA models. The results are also shown that SSA KELM can achieve the highest accuracy and the lowest training time among other SSA based models. The proposed model can therefore be considered as an efficient model for stock price prediction.
DeepFruits: A Fruit Detection System Using Deep Neural Networks
Venue: Sensors

This paper presents a novel approach to fruit detection using deep convolutional neural networks. The aim is to build an accurate, fast and reliable fruit detection system, which is a vital element of an autonomous agricultural robotic platform; it is a key element for fruit yield estimation and automated harvesting. Recent work in deep neural networks has led to the development of a state of the art object detector termed Faster Region based CNN (Faster R CNN) We adapt this model, through transfer learning, for the task of fruit detection using imagery obtained from two modalities: colour (RGB) and Near Infrared (NIR) Early and late fusion methods are explored for combining the multi modal (RGB and NIR) information. This leads to a novel multi modal Faster R CNN model, which achieves state of the art results compared to prior work with the F1 score, which takes into account both precision and recall performances improving from 0.807 to 0.838 for the detection of sweet pepper. In addition to improved accuracy, this approach is also much quicker to deploy for new fruits, as it requires bounding box annotation rather than pixel level annotation (annotating bounding boxes is approximately an order of magnitude quicker to perform) The model is retrained to perform the detection of seven fruits, with the entire process taking four hours to annotate and train the new model per fruit.
Hair follicle containing punch grafts accelerate chronic ulcer healing: A randomized controlled trial.
Venue: Journal of the American Academy of Dermatology

A prominent role of hair follicle derived cells in epidermal wound closure is now well established but clinical translation of basic research findings is scarce. Although skin punch grafts have been used as a therapeutic intervention to improve healing of chronic leg ulcers, they are normally harvested from nonhairy areas, thus not taking advantage of the reported role of the hair follicle as a wound healing promoter.  We sought to substantiate the role of hair follicles in venous leg ulcer healing by transplanting hair follicle containing versus nonhairy punch grafts.  This was a randomized controlled trial with intraindividual comparison of hair follicle scalp grafts and nonhairy skin grafts transplanted in parallel into 2 halves of the same ulcer.  Ulcer healing measured as the average percentage reduction 18 weeks postintervention was significantly increased (P .002) in the hair follicle group with a 75.15% (SD 23.03) ulcer area reduction compared with 33.07% (SD 46.17) in the control group (nonhairy grafts) LIMITATIONS Sample size was small (n 12) CONCLUSION Autologous transplantation of terminal hair follicles by scalp punch grafts induces better healing than punch grafts harvested from nonhairy areas. Hair punch grafting is a minimally invasive surgical procedure that appears to be effective as a therapeutic tool for chronic venous leg ulcers.
Single Cell Transcriptomics Reveals that Differentiation and Spatial Signatures Shape Epidermal and Hair Follicle Heterogeneity
Venue: Cell systems

The murine epidermis with its hair follicles represents an invaluable model system for tissue regeneration and stem cell research. Here we used single cell RNA sequencing to reveal how cellular heterogeneity of murine telogen epidermis is tuned at the transcriptional level. Unbiased clustering of 1,422 single cell transcriptomes revealed 25 distinct populations of interfollicular and follicular epidermal cells. Our data allowed the reconstruction of gene expression programs during epidermal differentiation and along the proximal distal axis of the hair follicle at unprecedented resolution. Moreover, transcriptional heterogeneity of the epidermis can essentially be explained along these two axes, and we show that heterogeneity in stem cell compartments generally reflects this model: stem cell populations are segregated by spatial signatures but share a common basal epidermal gene module. This study provides an unbiased and systematic view of transcriptional organization of adult epidermis and highlights how cellular heterogeneity can be orchestrated in vivo to assure tissue homeostasis.
The Hair Follicle
Venue: Toxicologic pathology

The hair follicle (HF) has a wide range of functions including thermoregulation, physical and immunological protection against external insults, sensory perception, social interactions, and camouflage. One of the most characteristic features of HFs is that they self renew during hair cycle (HC) throughout the entire life of an individual to continuously produce new hair. HC disturbances are common in humans and comparable to some alopecic disorders in dogs. A normal HC is maintained by follicular stem cells (SCs) which are predominately found in an area known as the bulge. Due to similar morphological characteristics of the human and canine bulge area, the particularity of compound HFs in humans and dogs as well as similarities in follicular biomarker expression, the dog might be a promising model to study human HC and SC disorders. In this review, we give an overview of normal follicular anatomy, the HC, and follicular SCs and discuss the possible pathogenetic mechanisms of noninflammatory alopecia.
Foxc1 reinforces quiescence in self renewing hair follicle stem cells
Venue: Science

Quiescent and aging hair follicle stem cells Stem cells enable normal cell homeostasis, but they also exist in a quiescent state, ready to proliferate and differentiate after tissue damage. Now, two studies reveal features of stem cells in the hair follicle, an epithelial mini organ of the skin that is responsible for hair growth and recycling (see the Perspective by Chuong and Lei) Wang et al. found that the Foxc1 transcription factor is induced in activated hair follicle stem cells, which in turn promote Nfatc1 and BMP signaling, to reinforce quiescence. Matsumura et al. analyzed hair follicle stem cells during aging. They identified type XVII collagen (COL17A1) as key to hair thinning. DNA damage induced depletion of COL17A1 triggered cell differentiation resulting in the shedding of epidermal keratinocytes from the skin surface. These changes then caused hair follicle shrinkage and hair loss. Science, this issue p. 559, p. 613; see also p. 10.1126/science.aad4395 Dynamic expression of a transcription factor sustains the quiescent cellular state in activated hair follicle stem cells during self renewal.  Stem cell quiescence preserves the cell reservoir by minimizing cell division over extended periods of time. Self renewal of quiescent stem cells (SCs) requires the reentry into the cell cycle. In this study, we show that murine hair follicle SCs induce the Foxc1 transcription factor when activated. Deleting Foxc1 in activated, but not quiescent, SCs causes failure of the cells to reestablish quiescence and allows premature activation. Deleting Foxc1 in the SC niche of gene targeted mice leads to loss of the old hair without impairing quiescence. In self renewing SCs, Foxc1 activates Nfatc1 and bone morphogenetic protein (BMP) signaling, two key mechanisms that govern quiescence. These findings reveal a dynamic, cell intrinsic mechanism used by hair follicle SCs to reinforce quiescence upon self renewal and suggest a unique ability of SCs to maintain cell identity.
A guide to studying human hair follicle cycling in vivo
Venue: The Journal of investigative dermatology

Hair follicles (HFs) undergo life long cyclical transformations, progressing through stages of rapid growth (anagen) regression (catagen) and relative "quiescence" (telogen) Since HF cycling abnormalities underlie many human hair growth disorders, the accurate classification of individual cycle stages within skin biopsies is clinically important and essential for hair research. For preclinical human hair research purposes, human scalp skin can be xenografted onto immunocompromised mice to study human HF cycling and manipulate long lasting anagen in vivo. While available for mice, a comprehensive guide on how to recognize different human hair cycle stages in vivo is lacking. Here, we present such a guide, which uses objective, well defined, and reproducible criteria and integrates simple morphological indicators with advanced, (immuno) histochemical markers. This guide also characterizes human HF cycling in xenografts and highlights the utility of this model for in vivo hair research. Detailed schematic drawings and representative micrographs provide examples of how best to identify human HF stages, even in sub optimally sectioned tissue, and practical recommendations are given for designing human on mouse hair cycle experiments. Thus, this guide seeks to offer a benchmark for human hair cycle stage classification, for both hair research experts and newcomers to the field.
Chronic consumption of conventional and saturated fat reduced dairy products have differential effects on low density lipoprotein cholesterol levels in adults at moderate cardiovascular disease risk
Venue: Proceedings of the Nutrition Society

Reducing the intake of dietary saturated fatty acids (SFA) to 10 of total energy intake is a key public health strategy aimed at lowering current cardiovascular disease (CVD) incidence. Consumption of dairy products (including butter) represents approximately 35 of total dietary SFA intake(1) Supplementation of the bovine diet with oleic acid rich plant oil has been reported to depress SFA and increase cis monounsaturated fatty acids levels in milk, providing a strategy to lower total dietary SFA intake (2) This human intervention study aimed to investigate whether consumption of SFA reduced, compared with conventional dairy products, would impact on the fasting lipid profile, glucose and insulin concentrations of adults at moderate CVD risk. Fifty four adults (mean age 53 (SD 13) years, BMI 26 (SD 3) kg/m2) completed a double blind, randomised, controlled 12 week cross over study with an 8 week washout period between treatment arms. Participants replaced habitual dairy foods/snacks with SFA reduced or conventional UHT milk, Cheddar cheese and butter (fatty acid (FA) composition of SFA reduced vs. conventional dairy products: total SFA: 7*0 g/d, C18:1cis: 3*0 g/d, C18:1trans: 2*4 g/d) achieving an isoenergetic daily dietary exchange (41 g/d total fat) At the beginning and end of each treatment period, fasting blood samples were collected for biochemical analysis. LDL C was estimated using the Friedewald formula. The homeostatic model assessment of insulin resistance (HOMA IR) was calculated using the glucose and insulin data.
Ethnic Identity Development in Schools among First Generation Immigrants in the United States

Today, Americans increasingly concerned about the matter of immigration in the United States. A growing number believe that immigrants are burden to the country, taking jobs and housing and creating strains on the health care system. Many Americans are also worry about the cultural impact of the expanding number of newcomers to the U.S. This paper aims to present a brief but concise discussion by reviewing literature that deals on the development of ethnic identity of first generation immigrants' students in the U.S. This is a relevant study since the influx of immigrants coming in the U.S. has made great impact on the over all societal changes.
Work Values and Organizational Commitment among Administrative Employees of One Higher Education Institution in the Philippines

This study aims to determine the work values and organizational commitment among administrative employees of Lyceum of the Philippines University Batangas. This study also tested the significant difference in respondentsaEUR(tm) work values and organizational commitment when grouped according to the profile variables. Likewise, a test of relationship between work values and organizational commitment of administrative employees is also being done. The descriptive correlation method was utilized in the conduct of the study. The study revealed that most of the administrative employees are young, female, married, BacheloraEUR(tm)s degree holder, relatively new in Lyceum and belong to rank and file position. The administrative employees claim high agreement on self growth in terms of terminal values and friendship and social interaction as to instrumental values. In terms of organizational commitment, respondents possess high level of commitment on affective, continuance and normative dimension towards the university.
Effect of Employee Work Stress, Work Satisfaction and Work Values on Organizational Commitment

With an increase of 13.4% passengers occurred in 2014, the airline industry face the atmosphere of aviation safety and service satisfaction, often appear so airline personnel work stress emotions, resulting in reduced efficiency and even affecting flight safety. As airline employees carry important transportation mission, therefore aviation staff awareness of the work values. In this study, we explore the effect among airline staff facing job satisfaction, work values and commitment by looking at different departments. Our research findings show that job satisfaction, work values, and organizational commitment in varying job classifications, staffs have a different perception. Employees working achievements and challenges of higher self satisfied person, or can feel their expertise when the work value of the employees will have stronger organizational commitment. Further to the intrinsic values of employee self affirmation, promotion and remuneration of extrinsic values, both have a positive impact on organizational commitment. Especially pilots and flight attendants cognitive intrinsic values are more evident, thus higher organizational commitment. Company executives shall pay attention to the work of self affirmation of the intrinsic values of cognition to the administrative staff.
Parametric investigation for performance of the active tile in data centers
Venue: 2016 15th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm)

A well organized active tile system in raised floor configuration will be designed to locally accommodate specific higher cooling demands and to provide an energy efficient methodology to better thermal management and control of data centers. Previous research has successfully demonstrated active tile models embedded within a basic hot/cold aisle data center. Here, the concept of single fan units placed in the under floor plenum has been explored as a design prototype. The performance of the active tile was carefully examined using a commercial computational fluid dynamics (CFD) solver. The numerical trends were observed to investigate the efficiencies of cooling air being driven through the active tiles. The corresponding significant operating conditions (e.g. fan swirl speed, fan volume flow rate, and static pressure) were evaluated and the critical flow and thermal characteristics (e.g. flow distribution in the plenum and server inlet temperature) affected by the parametric variations were consequently revealed and discussed.
Numerical cooling performance evaluation of fan assisted perforations in a raised floor data center

Raised floors with hot aisle/cold aisle configurations have grown to be a critical arrangement for data center cooling. However, more sophisticated techniques are still desired to achieve proper thermal management for improving energy effectiveness and efficiency. The application of fan assisted perforations may yield a smarter cooling solution accommodating non uniform power densities and heat load demands to optimize the cooling performance in raised floor data centers. The present research includes the construction and thermal analysis of a basic raised floor with compact fan assisted perforations modeled using computational fluid dynamics (CFD) The flow straightening effect of the fan assisted tile and the fan to tile distance were treated as the critical design aspects under investigation. The field cooling performance affected by the parametric variation were carefully discussed and compared. Moreover, a full factorial design was employed to obtain and verify the qualitative and quantitative characteristics of the main and interaction effects of the design variation. Well constructed fan assisted perforations may satisfy an advanced cooling solution to better manage and optimize the heat and mass transfer in data centers.
Pemodelan dan Analisa Energi Listrik yang Dihasilkan Mekanisme Pembangkit Listrik Tenaga Gelombang Air (PLTG AIR) Tipe Pelampung Silinder dengan Cantilever Piezoelectric

Gelombang laut merupakan pergerakan naik dan turunnya muka air laut yang membentuk lembah dan bukit. Pemanfaatan energi gelombang laut untuk sumber energi alternatif sangat cocok diterapkan di Indonesia, dimana luas lautannya mencapai 2/3 dari keseluruhan luas Indonesia. Salah satu cara memanfaatkan energi gelombang laut adalah untuk menghasilkan listrik, atau yang biasa disebut pembangkit listrik tenaga gelombang laut (PLTGL) Pada penelitian ini akan dibuat simulasi mekanisme PLTGA tipe pelampung silinder dengan c antilever piezoelectric sebagai pengkonversi energi mekanik dari gearbox menjadi energi listrik. Cantilever piezoelectric material merupakan material yang memiliki kemampuan untuk membangkitkan potensial listrik sebagai respon dari tegangan mekanik yang diberikan pada material tersebut. Blade akan dipasang pada poros keluaran dari gearbox. Blade inilah yang nantinya akan memukul c antilever piezoelectric sehingga menyebabkan cantilever piezoelectric mengalami defleksi. Defleksi dari cantilever piezoelectric inilah yang menimbulkan voltase atau energi listrik pada cantilever piezoelectric. Variasi yang digunakan untuk mengetahui energi bangkitan optimum yang akan dihasilkan oleh mekanisme ini berupa frekuensi gelombang laut (1Hz, 2Hz, dan 3Hz) dan jumlah cantilever piezoelectric 1, 3, dan 5) Didapatkan hasil simulasi berupa grafik respon perpindahan cantilever piezoelectric dan voltase terhadap fungsi frekuensi gelombang laut dan grafik respon perpindahan cantilever piezoelectric dan voltase terhadap fungsi jumlah cantilever piezoelectric Dari hasil simulasi didapatkan nilai daya bangkitan maksimal yang dihasilkan 4.92E 06 Watt dengan menggunakan 5 cantilever piezoelectric pada frekuensi 1Hz