nils-herrmann/clean_scirepeval huggingface dataset:
A predictive analytics of physicians prescription and pharmacies sales correlation using data mining
Venue: International Journal of Pharmaceutical and Healthcare Marketing
Year: 2019

In the pharmaceutical industry, marketing and sales managers often deal with massive amounts of marketing and sales data. One of their biggest concerns is to recognize the impact of actions taken on sold out products. Data mining discovers and extracts useful patterns from such large data sets to find hidden and worthy patterns for the decision making. This paper, too, aims to demonstrate the ability of data mining process in improving the decision making quality in the pharmaceutical industry.  This research is descriptive in terms of the method applied, as well as the investigation of the existing situation and the use of real data and their description. In fact, the study is quantitative and descriptive, from the point of view of its data type and method. This research is also applicable in terms of purpose. The target population of this research is the data of a pharmaceutical company in Iran. Here, the cross industry standard process for data mining methodology was used for data mining and data modeling.  With the help of different data mining techniques, the authors could examine the effect of the visit of doctors overlooking the pharmacies and the target was set for medical representatives on the pharmaceutical sales. For that matter, the authors used two types of classification rules: decision tree and neural network. After the modeling of algorithms, it was determined that the two aforementioned rules can perform the classification with high precision. The results of the tree ID3 were analyzed to identify the variables and path of this relationship.  To the best of the authors' knowledge, this is one of the first studies to provide the real world direct empirical evidence of "Analytics of Physicians Prescription and Pharmacies Sales Correlation Using Data Mining." The results showed that the most influential variables of "the relationship between doctors and their visits to pharmacies," "the length of customer relationship" and "the relationship between the sale of pharmacies and the target set for medical representatives" were "deviation from the implementation plan." Therefore, marketing and sales managers must pay special attention to these factors while planning and targeting for representatives. The authors could focus only on a small part of this study.
UAV Base Station Location Optimization for Next Generation Wireless Networks: Overview and Future Research Directions
Venue: 2019 1st International Conference on Unmanned Vehicle Systems Oman (UVS)
Year: 2019

Unmanned aerial vehicles mounted base stations (UAV BSs) are expected to become one of the significant components of the Next Generation Wireless Networks (NGWNs) Rapid deployment, mobility, higher chances of unobstructed propagation path, and flexibility features of UAV BSs have attracted significant attention. Despite, potentially, high gains brought by UAV BSs in NGWNs, many challenges are also introduced by them. Optimal location assignment to UAV BSs, arguably, is the most widely investigated problem in the literature on UAV BSs in NGWNs. This paper presents a comprehensive survey of the literature on the location optimization of UAV BSs in NGWNs. A generic optimization framework through a universal Mixed Integer Non Linear Programming (MINLP) formulation is constructed and the specifications of its constituents are elaborated. The generic problem is classified into a novel taxonomy. Due to the highly challenging nature of the optimization problem a range of solutions are adopted in the literature which are also covered under the aforementioned classification. Furthermore, future research directions on UAV BS location optimization in 5G and beyond non terrestrial aerial communication systems are discussed.
Book review of Boguslawska Tafelska, M. 2016. Ecolinguistics: communication processes at the seam of life. New York: Peter Lang
Venue: Scripta Neophilologica Posnaniensia
Year: 2019

Book review of Boguslawska Tafelska, M. 2016. Ecolinguistics: communication processes at the seam of life.  Peter Lang
The impact of surgical specialisation on survival following elective colon cancer surgery
Venue: International Journal of Colorectal Disease
Year: 2014

PurposeReorganisation of cancer services in the UK and across Europe has led to elective surgery for colon cancer being increasingly, but not exclusively, delivered by specialist colorectal surgeons. This study examines survival after elective colon cancer surgery performed by specialist compared to non specialist surgeons.MethodPatients undergoing elective surgery for colon cancer in 16 hospitals between 2001 and 2004 were identified from a prospectively maintained regional audit database. Post operative mortality <30 days) and 5 year relative survival in those receiving surgery under the care of a specialist or non specialist surgeon were compared. total of 1,856 patients were included, of which, 1,367 (73.7 were treated by a specialist and 489 (26.4 by a non specialist surgeon. Those treated by a specialist were more likely to be deprived, undergo surgery in a high volume unit and have higher lymph node yields than those treated by a non specialist. Post operative mortality was lower (4.5 versus 7.0 P 0.032) and 5 year relative survival was higher (72.2 versus 65.6 P 0.012) among those treated by a specialist surgeon. In multivariate analysis, surgery by non specialists was independently associated with increased post operative mortality (adjusted odds ratio (OR) 1.69; P 0.001) and poorer 5 year relative survival (adjusted relative excess risk (RER) 1.17; P 0.045) After exclusion of post operative deaths, there was no difference in long term survival (adjusted RER 1.08; P 0.505).ConclusionFive year relative survival after elective colon cancer surgery was higher among those treated by specialist colorectal surgeons due to increased post operative mortality among those treated by non specialists.
Individual Grapevine Analysis in a Multi Temporal Context Using UAV Based Multi Sensor Imagery
Venue: Remote. Sens.
Year: 2020

The use of unmanned aerial vehicles (UAVs) for remote sensing applications in precision viticulture significantly increased in the last years. UAVs' capability to acquire high spatiotemporal resolution and georeferenced imagery from different sensors make them a powerful tool for a better understanding of vineyard spatial and multitemporal heterogeneity, allowing the estimation of parameters directly impacting plants' health status. In this way, the decision support process in precision viticulture can be greatly improved. However, despite the proliferation of these innovative technologies in viticulture, most of the published studies rely only on data from a single sensor in order to achieve a specific goal and/or in a single/small period of the vineyard development. In order to address these limitations and fully exploit the advantages offered by the use of UAVs, this study explores the multi temporal analysis of vineyard plots at a grapevine scale using different imagery sensors. Individual grapevine detection enables the estimation of biophysical and geometrical parameters, as well as missing grapevine plants. A validation procedure was carried out in six vineyard plots focusing on the detected number of grapevines and missing grapevines. A high overall agreement was obtained concerning the number of grapevines present in each row (99.8% as well as in the individual grapevine identification (mean overall accuracy of 97.5% Aerial surveys were conducted in two vineyard plots at different growth stages, being acquired for RGB, multispectral and thermal imagery. Moreover, the extracted individual grapevine parameters enabled us to assess the vineyard variability in a given epoch and to monitor its multi temporal evolution. This type of analysis is critical for precision viticulture, constituting as a tool to significantly support the decision making process.
Motivasi Siswa Terhadap Pembelajaran Pendidikan Agama Islam Di Smp Negeri 1 Simpur Kabupaten Hulu Sungai Selatan
Year: 2012

Nor Aisyah. 2012. "Motivasi Siswa Terhadap Pembelajaran Pendidikan Agama Islam Di Smp Negeri 1 Simpur Kabupaten Hulu Sungai Selatan" Skripsi, Jurusan Pendidikan Agama Islam, Fakultas Tarbiyah, Dosen Pembimbing: (1) Dra. Hj. Mudhi'ah, M.Ag. (II) Raihanah, S.Pd.I, M.Ag Setiap kegiatan belajar akan berujung dengan harapan pencapaian prestasi belajar yang baik. Prestasi belajar merupakan indikator keberhasilan baik bagi seorang guru maupun bagi siswa itu sendiri. Tidak ada seorang siswapun yang menginginkan prestasi belajarnya jelek. Namun untuk memperoleh semua itu tidak mudah karena banyaknya faktor yang mempengaruhi prestasi belajar yang salah satunya adalah motivasi belajar siswa. Permasalahan yang diteliti dalam penelitian ini adalah mengenai motivasi siswa terhadap pembelajaran Pendidikan Agama Islam di SMP Negeri 1 Simpur Kabupaten Hulu Sungai Selatan yang meliputi motivasi intrinsik dan motivasi ekstrinsik serta mengenai faktor faktor yang mempengaruhinya. Jenis penelitian ini adalah bersifat lapangan (field research) dengan menggunakan pendekatan kualitatif dalam bentuk deskritif. Populasi dalam penelitian ini sebanyak 135 siswa yang diambil sampel 25% dengan menggunakan teknik stratified proportional random sampling pada SMP Negeri 1 Simpur, yang dalam pengumpulan datanya dibantu oleh para dewan guru, dan staf tata usaha di SMP Negeri 1 Simpur. Teknik pengumpulan data yang digunakan dalam penelitian ini adalah observasi, wawancara, angket, dan dokumentasi, kemudian data diolah dengan menggunakan teknik editing, koding, tabulating, dan kemudian interprestasi data. Setelah data diolah dengan prosedur yang ditentukan kemudian data dianalisis secara deskriftif kualitatif dengan metode induktif. Motivasi siswa terhadap pembelajaran PAI di SMP Negeri 1 Simpur kabupaten HSS terbagi menjadi dua kategori motivasi. 1)Motivasi intrinsik yang meliputi kesenangan, penguasaan, perhatian siswa dalam belajar keinginan untuk pintar, mendapatkan nilai tinggi, menguasai ajaran Islam, mempunyai akhlak mulia serta keinginan untuk berbakti kepada orangtua dan guru. 2)Motivasi ekstrinsik yang meliputi pujian dan ulangan. Faktor yang mempengaruhi motivasi siswa terhadap pembelajaran PAI di SMP Negeri 1 Simpur kabupaten HSS yang meliputi faktor siswa, guru, orangtua, sarana dan prasarana, waktu dan lingkungan. Berdasarkan hasil penelitian ini diperoleh kesimpulan bahwa motivasi siswa terhadap pembelajaran Pendidikan Agama Islam di SMP Negeri 1 Simpur Kabupaten Hulu Sungai Selatan baik, karena dipengaruhi oleh guru yang berpengalaman serta faktor lain dari siswa, orangtua, sarana dan prasarana, waktu dan lingkungan.
An efficient and secure searchable public key encryption scheme with privacy protection for cloud storage
Venue: Soft Comput.
Year: 2018

In the area of searchable encryption, the searchable public key encryption (SPE) is an attractive technique in secure cloud storage. SPE assures the data confidentiality without affecting the usage of the data stored in the cloud. Furthermore, compared with the symmetric searchable encryption, SPE does not require key distribution and management. We investigate the security of the searchable public key encryption based on the traditional Boneh's framework. Although existing SPE schemes can enable users to search over encrypted data, most of these schemes are vulnerable to the file injection attack and the insider keyword guessing attack. To mitigate these attacks, we propose an efficient and secure searchable public key encryption with privacy protection (SPE PP) We then provide a concrete construction of SPE PP that uses the Diffie Hellman shared secret key, and we prove it can resist these attacks. Both the theoretical analysis and the experimental results show that our scheme achieves strong security along with high efficiency.
High temperature superconductivity in transition metallic hydrides MH11 (M Mo, W, Nb, and Ta) under high pressure.
Venue: Physical chemistry chemical physics PCCP
Year: 2021

The discovery of H3S and LaH10 is an important step towards the development of room temperature superconductors which fuels the enthusiasm for finding promising superconductors among hydrides at high pressure. In the present study, three new and stable stoichiometric MoH5, MoH6 and MoH11 compounds were found in the pressure range of 100 300 GPa. The highly hydrogen rich phase of Cmmm MoH11 has a layered structure that contains various forms of hydrogen: H, H2 and H3 units. It is a high Tc material with an estimated Tc value in the range of 165 182 K at 250 GPa. The same structures are also found in NbH11, TaH11, and WH11, each material showing Tc ranging from 117 to 168 K. By combining the method of using two coupling constants lopt and lac, and two characteristic frequencies (optical and acoustic) with first principle calculations, we found that the high values of Tc are mainly caused by the presence of high frequency optical modes, but the acoustic modes also play a noticeable role.
Effects of experimentally induced dissociation on attention and memory
Venue: Consciousness and Cognition
Year: 2013

Dissociation is an important aspect of responses to traumatic events. According to a number of influential theories, it negatively impacts cognitive performance including encoding of the trauma memories, leading to an increased risk of later conditions such as posttraumatic stress disorder (PTSD) We tested this hypothesis experimentally in two studies by inducing dissociation in the laboratory and investigating the effects on several aspects of cognition, including time estimation, digit and spatial span, and story recall. Dissociation was related to decrements in time estimation, digit span, and story retention, but did not affect perceptual attention, spatial span, or immediate story recall. The results are discussed in the context of theoretical models of PTSD and their implications for official questioning of traumatized individuals such as sexual assault survivors.
Persistent Organochlorine Pesticide Residues in Water, Sediments and Fish Samples from Ogbese River
Year: 2015

This study considered the levels of 15 organochlorine pesticide (OCPs) residues (a BHC, b BHC, U BHC, lindane, chlorothalonil, heptachlor, aldrin, heptachlor epoxide, endosulfan I, endosulfan II, endrin, dieldrin, p, p' DDD, p, p' DDT and endosulfan sulphate in water, sediments and fish species from Ogbese river in Ekiti State, Southwestern Nigeria. Samples were extracted and cleaned up on silica gel adsorbent. The OCPs concentrations were determined using Gas chromatograph (GC) equipped with Electron Capture Detector. The OCPs concentration in water and sediments ranged from below detection limit (BDL) BDL 13.6 ug/L and 0.52 450 ug/kg whilst the mean OCPs in the fish ranged from 2.64 66.0 ug/kg, respectively. The results indicated that all the analysed fish samples were contaminated with the studied pesticides. Endosulfan I was found to be above EU and FAO/WHO maximum residue limits (MRL) in Clarias gariepinus fish samples. The sediments and fish samples showed evidence of organochlorine pesticides enrichment and bioaccumulation. Chi square at a 0.05 showed there were significant differences in the levels of organochlorine pesticide residues in sediments and fish samples except a BHC.
Multibaseline Interferometric Phase Denoising Based on Kurtosis in the NSST Domain
Venue: Sensors
Year: 2020

Interferometric phase filtering is a crucial step in multibaseline interferometric synthetic aperture radar (InSAR) Current multibaseline interferometric phase filtering methods mostly follow methods of single baseline InSAR and do not bring its data superiority into full play. The joint filtering of multibaseline InSAR based on statistics is proposed in this paper. We study and analyze the fourth order statistical quantity of interferometric phase: kurtosis. An empirical assumption that the kurtosis of interferograms with different baselines keeps constant is proposed and is named as the baseline invariant property of kurtosis in this paper. Some numerical experiments and rational analyses confirm its validity and universality. The noise level estimation of nature images is extended to multibaseline InSAR by dint of the baseline invariant property of kurtosis. A filtering method based on the non subsampled shearlet transform (NSST) and Wiener filter with estimated noise variance is proposed then. Firstly, multi scaled and multi directional coefficients of interferograms are obtained by NSST. Secondly, the noise variance is represented as the solution of a constrained non convex optimization problem. A pre thresholded Wiener filtering with estimated noise variance is employed for shrinking or zeroing NSST coefficients. Finally, the inverse NSST is utilized to obtain the filtered interferograms. Experiments on simulated and real data show that the proposed method has excellent comprehensive performance and is superior to conventional single baseline filtering methods.
Managing Conflict between Engineers/R&D and Marketers in New Product Development Process
Year: 2016

This article is a literature review which involves conflict between engineer/research development (R&D) specialists and marketers. Such conflict often occurs during new product development (NPD) process due to the differences in knowledge background, personality, and working styles of the two parties. There are 3 types of conflict, consisting of 1) task conflict emerging from the argument and discussion on NPD issues, 2) process conflict emerging from misunderstanding of own duties during NPD, and 3) relationship conflict emerging from dissatisfaction or interpersonal animosity of the integration. Managing these types of conflict can be done in many styles, which includes 1) integrating 2) obliging 3) compromising 4) dominating, and 5) avoiding. Each style is implemented based on individual working characteristics. kaarbrhaarkhwaamkhdaeyngrahwaangwswkr/nkwcchyaelaphthnaaaelankkaartlaad ainkrabwnkaarphthnaaphltphnthaihm bthkhwaamnepnkaarthbthwnwrrnkrrmthekywkh`ngkbkhwaamkhdaeyngrahwaangwswkr/nkwcchyaelaphthnaa aela nkkaartlaad chngmkekdkhnb`ykhrngainkrabwnkaarphthnaaphltphnth en`ngcchaakkhwaamaetktaangdaanphnthaankhwaamr bkhlkphaaphaelarpaebbkaarthamngaankh`ngthngs`ngfaay khwaamkhdaeyngsaamaarthekdkhnaid 3 rpaebb aidaek 1) khwaamkhdaeyngainngaan chngekdcchaakkaarotaeynghr`thkethyngainpraednthekywkh`ngkbngaanphthnaaphltphnth 2) khwaamkhdaeyngainkrabwnkaar chngekdcchaakkhwaamaimekhaaaicchbthbaathkh`ngtne`ngainchwngkaarprbeplynkrabwnkaarthamngaan aela 3) khwaamkhdaeyngswntw chngekdcchaakkhwaamaimph`aicchhr`m`khtt`bkhkhltht`ngthamngaanrwmkn chngkaarbrhaarkhwaamkhdaeyngthngsaampraephthnsaamaarthkrathamaidhlaayrpaebb aidaek 1) kaarekhaarwm 2) kaary`mtaam 3) kaarpranpran`m 4) kaarekhaakhm aela 5) kaarhlkelyng odyaetlarpaebbcchaekdkhntaamlksnakaarthamngaankh`ngaetlakhn
Energy efficient virtual content distribution network provisioning in cloud based data centers
Venue: Future Gener. Comput. Syst.
Year: 2018

Cloud based content distribution networks (CDNs) consist of multiple servers that consume large amounts of energy. However, with the development of a cloud based software defined network (SDN) a new paradigm of the virtual content distribution network (vCDN) has emerged. In an emerging cloud based vCDN environment, the development and adjustment of vCDN components has become easier with the aid of SDN technology. This transformation provides the opportunity to use vCDNs to reduce energy consumption by adjusting the scale of the vCDN components. Energy costs can be reduced by deactivating the commercial servers carrying the software components of the vCDN, such as replica servers, the firewall or routers. In addition, the CDN requires a high service level agreement (SLA) to respond to clients' requests, potentially consuming large amounts of energy. In this research, we focus on the issue of the energy savings of a CDN in a cloud computing environment while maintaining a high quality of service (QoS) We propose an approximate algorithm termed max flow forecast (MFF) to determine the number of software components in the vCDN. Additionally, we use a real traffic trace from a website to assess our algorithm. The experimental results show that MFF can produce a larger energy reduction than the existing algorithms for an identical SLA. We fully justify our research as a good example for the emerging cloud.
DELLA proteins negatively regulate dark induced senescence and chlorophyll degradation in Arabidopsis through interaction with the transcription factor WRKY6
Venue: Plant Cell Reports
Year: 2018

Key messageDELLA proteins' negative regulation of dark induced senescence and chlorophyll degradation in Arabidopsis is through interaction with WRKY6 and thus repression of its transcriptional activities on senescence related genes.AbstractSenescence is an intricate and highly orchestrated process regulated by numerous endogenous and environmental signals. Gibberellins (GAs) and their signaling components DELLA proteins have been known to participate in the regulation of senescence. However, the mechanism of the GA DELLA system involved in the senescence process remains largely unclear. Darkness is a known environmental factor that induces plant senescence. In this study, exogenous GA3 (an active form of GA) accelerated but paclobutrazol (a specific GA biosynthesis inhibitor) retarded dark induced leaf yellowing in Arabidopsis. Moreover, the dark triggered decrease in chlorophyll content, increase in cell membrane leakage, and upregulation of senescence associated genes were notably impaired in both endogenous GA decreased mutants ga3ox1/ga3ox2 and ga20ox1/ga20ox2 compared with those in wild type Col 0. These effects of darkness were enhanced in the quintuple mutant of DELLA genes gai t6/rga t2/rgl1 1/rgl2 1/rgl3 1 and conversely attenuated in the gain of function mutant gai and transgenic plant 35S::TAP RGAd17 compared with wild type Ler. Subsequently, RGA interacted with the transcription factor WRKY6 in a yeast two hybrid assay, as confirmed by bimolecular fluorescence complementation and pull down analyses. In addition, mutation and overexpression of WRKY6 retarded and accelerated dark induced senescence, respectively. Furthermore, transient expression assays in Arabidopsis protoplasts indicated that RGA and GAI weakened the transcriptional activities of WRKY6 on its downstream senescence related genes, including SAG13 and SGR. Taken together, these results suggest that GAs positively and DELLAs negatively regulate dark induced senescence and chlorophyll degradation in Arabidopsis. DELLAs function in this process, at least in part, by interacting with WRKY6.