Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of the Effectiveness of Conservative Treatment of Patients with Low-Back Pain by Regenerative Injecting Therapy

Background: An open-label clinical study was conducted to evaluate the efficacy and tolerability of regenerative injecting therapy. The purpose of the study: to assess the effectiveness of regenerative injecting therapy, as well as to analyze the degree of effectiveness of this method in patients with vertebrogenic pain syndromes. Materials and Methods: The study involved 30 patients of both sexes aged 20 to 60 years with vertebrogenic pain syndromes: chronic lumbalgia, vertebrogenic syndrome due to spondyloarthrosis, radiculopathy. General clinical (clinical and neurological, using scales for pain assessment), instrumental (X-ray, magnetic resonance imaging, ultrasound), laboratory methods were used. Results: The results of the study of regenerative injecting therapy showed a statistical improvement in the patients’ condition. According to the long-term results, conservative treatment (regenerative injecting therapy) has been shown to improve physical well-being, increase the ability to work, general perception of the quality of life of patients, and also had good tolerability. To evaluate the results of treatment of pain caused by protrusions and spondyloarthritis, using the method of application of platelet-enriched plasma.
Conformational sampling by molecular mechanics and dynamics simulations applied to the flexibility of nucleic acids

This PhD dissertation deals with the application of atomic-scale computer simulation (Molecular Dynamics) on different aspects of the conformational flexibility of Nucleic Acids (i.e. DNA, RNA). I have used diverse statistical and computational methods such as Umbrella Sampling and Replica Exchange to extract entropic properties, e.g. free energy, characterising (i) the bending of DNA on short length-scale, (ii) the folding of recently discovered RNA ribosomal motifs (the kink-turn motif) and (iii) backbone dihedral conformations accessible to damaged DNA. One achievement is the reproduction of the experimental curve for the probability of very high bend angles observed for short fragment of DNA which demonstrates a non linear (softer) bending flexibility of DNA. Results of my thesis predict that DNA kinks (local defects unstacking neighbour basepairs) occur in vivo and some of them induce a 90⁰-turn in the helix. They are associated with a systematic decrease of the local DNA stiffness constant (half an order of magnitude) which was quite unexpected. DNA bending up to 150⁰ on the 5 nm length scale requires on average 12 kcal/mol. It is slightly less expensive, 10 kcal/mol when a run of consecutive adenines is present (Atract sequences which occur frequently in every genome). The same kind of information is provided for a larger kink-turn motif in RNA (10 base pairs) for which an almost iso- energetic twist / bend coupled mode has been characterised. A methodological development of Hamiltonian replica exchange sampling techniques enables to characterize several competing DNA backbone conformations accessible to damaged DNA (an abasic site). The method can be used for any combination of backbone dihedral variables which constitute an example of DNA metastable states with very short relaxation time. More generally the PhD thesis presents the development of new methods to tackle the accurate sampling of particular nucleic acid helical propensities.
GBCNet: In-Field Grape Berries Counting for Yield Estimation by Dilated CNNs

We introduce here the Grape Berries Counting Net (GBCNet), a tool for accurate fruit yield estimation from smartphone cameras, by adapting Deep Learning algorithms originally developed for crowd counting. We test GBCNet using cross-validation procedure on two original datasets CR1 and CR2 of grape pictures taken in-field before veraison. A total of 35,668 berries have been manually annotated for the task. GBCNet achieves good performances on both the seven grape varieties dataset CR1, although with a different accuracy level depending on the variety, and on the single variety dataset CR2: in particular Mean Average Error (MAE) ranges from 0.85% for Pinot Gris to 11.73% for Marzemino on CR1 and reaches 7.24% on the Teroldego CR2 dataset.
Biparental negotiation or larval begging? Determinant of male provisioning in a burying beetle (Nicrophorus quadripunctatus)

In species showing biparental care, parents often adjust their level of care facultatively. Partners can potentially monitor each other directly (modify their effort sequentially in direct response to the prior effort of their mate) or indirectly (parents modify their effort through the begging rates of their offspring). This study examined whether partner negotiation or begging by larvae best explains male provisioning in Nicrophorus quadripunctatus. The frequency of males approaching larvae to feed did not increase with either female removal or female handicapping. However, larval begging toward males increased with female removal, but not with female handicapping. This suggests that larvae are not affected by the change of female investment in care but larvae reacted to the absence of a female parent. Although larvae begged more towards the male when the female was removed, my findings show that males did not respond by increasing their care, which suggests that males are insensitive to variation in their partner’s state or offspring behaviour in N. quadripunctatus.
Counting Students using OpenCV and Integration with Firebase for Classroom Allocation

In universities, lectures must be taught in suitable classrooms or labs in case of practicals. A major problem is students not attending lectures and because of this the classroom space, labs and infrastructure are wasted. If the management is done manually then it becomes a very tedious task. Our system aims to overcome this problem by using technologies like OpenCV to get the count of students present in the class and then developing an algorithm which gives the best occupancy ratio. Our educational system will be different than the traditional one. To count the number of students in a class, detectMultiscale method is used and for dynamic allocation of a classroom, occupancy ratio is used. First, detectMultiscale method will be used to identify the person in the image, it will not consider any objects. This count is stored into the firebase which is used for prediction and secondly, for dynamic allocation of a classroom, occupancy ratio is used, this will reduce the wastage of space and also helps in efficiently planning the schedule. The factors like classroom size, classrooms equipped with projectors, course capacity are taken for dynamic allocation. The cloud platform provided by Google (Firebase) is used for maintaining and storing data of the respective college/University. This data consists of personal data, timetables, schedules, attendance sheets.
The Potential Plastic Oil Production from Plastics Waste (PET and LDPE) in Aceh, Indonesia

Plastics are non-degradable polymers which contain carbon, hydrogen and others elements (chlorine, nitrogen, etc.). Due to its non-biodegradable nature, this compound contributes significantly to the problem of the environmental issues. One of the solutions to solve the plastic waste problem is to convert to plastic oil. Waste plastic oil (WPO) production from Polyethylene terephthalate PET and/or Low-density poly ethylene LDPE oils is an effective way to meet requirement for fuel supply to internal combustion engine. This study evaluated the potential WPO production from PET and LDPE were collected and extracted from Aceh, Indonesia. Moreover, WPO has been produced by using thermal cracking methods under pyrolysis process. The properties of the WPO produced such as viscosity, density, acid value, research octane number (RON) and heating value have been determined. After analysing these properties, it could be concluded that it is possible to obtain diesel fuel from LDPE and gasoline fuel from PET. The WPO could be used as an alternative fuel for internal combustion engines in the future, having two benefits: to recover energy from waste and reduce the environmental problems caused by this waste.
Quality Profile of Single-Breed Alpine Grey and Pinzgauer Bulk Milk

The aim of the present study was to investigate sources of variation in bulk milk composition, somatic cell score, coagulation properties, and mineral content of Alpine Grey and Pinzgauer single-breed herds in the Italian alpine area. A total of 56,914 bulk milk samples from 461 farms located in the Bolzano province (Northeast Italy) were available for statistical analysis. Least squares means revealed that Pinzgauer herds produced milk with greater fat content and shorter rennet coagulation time than Alpine Grey herds, but the latter had greater milk protein content and lower somatic cell scores than Pinzgauer herds. The greatest content of Ca, protein, and casein and the most favorable coagulation properties were observed in milk sampled in autumn in both breeds. Results should serve to differentiate the milk of Alpine Grey cattle and Pinzgauer cattle from milk of other cattle breeds and thus provide necessary arguments for developing new production concepts that might expand future opportunities for further valorizing these local, dual-purpose breeds and therefore contribute long-term to their preservation.
Corporate Sustainability and Fair Market Value: A Study of Indian Family Versus Non-Family Firms

The recent corporate trends show a shift towards responsible performance and increased responsibility disclosures. The reporting of environmental, social and governance (ESG) factors by a firm has been found to have positive market valuations. This study empirically analyses the association of ESG disclosures and market valuations in an emerging market, India. This study is original as it examines the association between responsibility disclosure and firm value of family firms with non-family business firms. This study was conducted with a sample of 245 Indian companies over 5 years and the results show that ESG disclosures do not significantly explain firm value (measured as Tobin’s q). A significant difference between the ESG disclosure practices of family and non-family firms was found. The family firms make higher ESG disclosures. These results document another advantage of family-ownership in today’s era of responsible investing. The study has implications for investors in investment decision making and screening of investments.
Pelatihan Sadar Wisata Dan Sapta Pesona Bagi Masyarakat Desa Sidomulyo, Pengasih, Kulon Progo

Abstrak. Sadar wisata merupakan hal mendasar yang harus dipahami oleh setiap lapisan masyarakat. Kesadaran wisata yang tinggi mendorong masyarakat untuk berperan serta aktif dalam pembangunan pariwisata. Upaya peningkatan sadar wisata bagi masyarakat di desa Sidomulyo sangat penting, karena desa ini sedang mengembangkan pariwisata. Desa Sidomulyo mempunyai potensi wisata yang sangat kuat, namun belum didukung dengan kesiapan sumber daya manusia. Selain itu, tingkat sandar wisata masyarakat Sidomulyo juga masih sangat rendah. Penyiapan sumber daya manusia dilakukan melalui berbagai pelatihan untuk meningkatkan kualitas Sumber Daya Manusia (SDM), sehingga bisa menjadi penggerak utama pengembangan desa wisata dan mengalami peningkatan dari aspek perekonomian. Pengabdian masyarakat ini merupakan salah satu upaya peningkatan kualitas SDM dalam rangka meningkatkan sadar wisata. Metode yang digunakan yakni teknik ceramah dan pendekatan partisipatif. Masyarakat terlibat langsung dalam pelatihan melalui diskusi yang interaktif. Dari hasil pelatihan ini, masyarakat mempunyai pemahaman yang kuat tentang pentingnya pengembangan desa wisata dan meningkatkan kesadaran untuk terlibat aktif dalam pengelolaan desa wisata. Kata Kunci: Sadar wisata, wisata desa, Pentahelix, Pemberdayaan Abstract. Tourism awareness is an essential thing that must be understood by every level of society. High tourism awareness encourages people to participate in tourism development actively. Efforts to increase awareness of tourism of the community in the village of Sidomulyo is significant because this village is developing tourism. Sidomulyo village has powerful tourism potential but has not been supported by the readiness of human resources. Besides, the level of tourism restoration for the people of Sidomulyo is still shallow. The preparation of human resources is done through various training to improve the quality of human resources. It can be a significant driver of the development of tourist villages and an increase in the economic aspects. This community service is an effort to improve the quality of human resources to increase tourism awareness. The method used is the lecture technique and participatory approach. The community is directly involved in the training through interactive discussions in this program. From the results of this training, the community has a strong understanding of the importance of developing tourist villages and raising awareness to be actively involved in the management of tourism villages. Keywords: Tourism Awareness, Village Tourism, Pentahelix, Empowerment
Synthesis and antiviral activity of 1-(n-substituted amino acetyl)-2-(5-substituted phthalimidomethyl) benzimidazoles

Phthalic anhydride and 3-Nitro Phthalic anhydride were reacted with 2-aminomethyl benzimidazole in pyridine to give 2- (5-substituted phthalimidomethyl) bezimidazoles. These benzimidazoles were refluxed with chloroacetyl chloride in dry benzene followed by reaction with different secondary amines to give 1-(N-substituted amino acetyl)-2-(5-substituted phthalimidomethyl) benzimidazoles. Antiviral activity of these compounds was studied against Ranikhet Disease Virus (RDV) and Vaccinia Virus (VV). Some of these compounds have been found to be active against RDV. antiviral activity against Ranikhet Disease Virus [4] . These results encouraged the author to synthesise1-(N-substituted amino acetyl)-2-(5-substituted phthalimidomethyl) benzimidazoles and to study their pharmacological action.
A Two-Station Passive Locating Solution Independent of the Baseline Length

The two-station positioning system based on time difference and azimuth measurement has measurement redundancy. Therefore, not only can a positioning solution which is completely independent of the baseline length between two stations be derived, but also the baseline length can be solved as an unknown quantity. These findings not only enhance the performance of the two-station positioning system, but also provide a design basis for the construction of a self-organizing dynamic intelligent positioning system.
“Down Woodward”: A Case Study of Empowering Youth to See and Disrupt Segregation Using Photovoice Methods

This case study examined how the Michigan Youth Policy Fellows program—which aimed to create a space for a team of adolescents to engage in a collaborative photovoice project with peers from diverse backgrounds—empowered young people to critically analyze and interrupt racial segregation. The study describes how nine racially and socioeconomically diverse adolescent girls and boys (14–17 years old), from the inner city and suburbs of Detroit, collectively evaluated the cultural, economic, and racial markers of differences found along one of the region’s thoroughfares, Woodward Avenue. The case study used multiple sources of data, collected over 8 years from 2006 to 2014, and a hybrid inductive-deductive analysis approach to examine the process of youth empowerment. The collaborative nature of the photovoice tour helped youth move from critical self-reflection of lived experiences to a collective understanding of segregation and inequality in the metropolitan region. The findings also suggest that engagement in a photovoice project fostered collective action through intergroup advocacy and supported youths’ civic development. As a practical method, the case study demonstrates that photovoice is a useful tool for group empowerment with adolescents.
Mid‐Holocene Sahara‐Sahel Precipitation From the Vantage of Present‐Day Climate

To account for the wet mid‐Holocene (ca. 6 ka) Sahara‐Sahel region, we exploit teleconnections from four large‐scale ocean‐atmosphere‐land forcings: El Niño–Southern Oscillation (ENSO), Atlantic Multidecadal Oscillation (AMO), hemispherical temperature difference, and net energy input at the equator; they offer theoretical bases for estimating effects of large‐scale forcing on mid‐Holocene Sahara‐Sahel rainfall. Together, these forcings explain 16–64% of historical rainfall variability, with the highest percentages in the Sahel region. With estimates for mid‐Holocene time, latitudes where rainfall today averages 1,000, 500, or 200 mm/year are reconstructed to have lain ~2.5° farther north. Calculated mid‐Holocene rainfall at 15°N, 17.5°N, and 20°N exceeds that today by ~250, 100, and 20 mm/year. These shifts account for more than half of paleoclimatic estimates of mid‐Holocene rainfall and are comparable with the General Circulation Model (GCM) runs that match paleorainfall estimates most closely. Mid‐Holocene radiation may have affected Sahel precipitation indirectly via teleconnections from oceanic regions.
Why Are Ethnic Parties Less Programmatic? Mixed-Method Evidence of Ethnic Endogeneity to Clientelistic Linkages

Abstract This paper advances a synthesized theory that ethnic party institutional preference for clientelistic exchanges is a causal determinant in weaker programmatic connections. I use an elite focused mixed-method approach with a quantitative survey of over 506 separate political parties along with an inductive case study of SWAPO in Namibia. The data show that ethnic party endogeneity to clientelism is a causal factor in the general underdevelopment of ethnic programmatic linkages.
The Impact of Unmodeled Heteroskedasticity on Assessing Measurement Invariance in Single-group Models

ABSTRACT This study compared two single-group approaches for assessing measurement invariance across an observed background variable: restricted factor analysis (RFA) and moderated nonlinear factor analysis (MNLFA). In MNLFA models, heteroskedasticity can be accounted for by allowing the common-factor variance and the residual variances to differ as a function of the background variable. In contrast, RFA models assume homoskedasticity of both the common factor and the residuals. We conducted a simulation study to examine the performance of RFA and MNLFA under common-factor and residual homoskedasticity and heteroskedasticity. Results suggest that MNLFA and RFA with product indicators outperform RFA with latent moderated structural equations in conditions with heteroskedastic common-factors, and MNLFA outperforms RFA in conditions with residual heteroskedasticity. We provide an explanation for the robustness of RFA with product indicators to violations of common-factor homoskedasticity.
Self-congruity Theory in Red Tourism: A Study of Shaoshan City, China

ABSTRACT As a heritage tourism and patriotism education in China, red tourism has strong value-expressive attributes, which makes it of great significance to examine self-congruity (SC) theory in a red destination. This study explores and compares the effects of SC and functional congruity (FC) on tourist satisfaction (TS) and destination loyalty (DL) by using structural equation modeling based on a sample of 332 tourists in Shaoshan city, a popular red destination in China. The findings indicate that SC of red tourists explains much higher variation of FC than that of other tourists. In addition, SC exerts equal effects on TS as FC and shows greater influence on DL than FC. This study sheds new lights on understanding the role of SC in destination marketing research and practices.
The impacts of dietary change in Finland: food system approach

This study examined what kind of policy instruments and actions are needed for sustainable dietary change and how a large-scale dietary change would impact the climate, thus analysing the economic impacts of transitioning from animal-based diets to alternative plant-based diets. The transition would require the support of horizontal measures that can be implemented throughout the food system. Shifting the emphasis toward the drivers of food demand and consumption will increase the role of new policy instruments and the actors involved in the food system. Collaborative research between environmental and nutritional sciences with economics and policy analysis is necessary to link nutritional health and environmental objectives with economic and social impacts. Less resource-demanding diets would reduce the impact from the food system and lower greenhouse gas (GHG) emissions. Drastic changes in diets and food consumption in Finland would have an impact on primary agricultural production, but the output from the food processing industry would only be slightly affected. However, a successful transition would involve considerable investments in the agricultural and food industry.
Intelligent Indoor Positioning Based on Artificial Neural Networks

LBS has become an integral part of people's life nowadays. However, the GPS restricted by the shielding effect is unavailable for indoor environments. Therefore, accurately locating an electronic device indoors has become a challenging issue in recent years. This work employs the CSi combined with neural networks to achieve an accurate indoor positioning. The CSi refers to known channel properties of a communication link in wireless communications. This information describes how a signal propagates from the transmitter to the receiver and represents the combined effects of, for example, scattering, fading, and power decay with distance. This work will evaluate several neural networks for the positioning, including the FCNN, CNN, and GCNN. in multi-carrier communication systems, the CSi of adjacent subcarriers has a high correlation, and hence, the CNN is promising to learn and extract the features of this input information corresponding to the location of radio devices. Beyond that, we also investigate an improved CNN, that is, the GCNN, which has more talent to locate in indoor environments than traditional CNNs. Experimental results show that the proposed GCNN can achieve a root-mean-square error (RMSE) of less than 0.08m and 0.3m for 16 and two antennas, respectively. in addition, the computational complexities and required numbers of parameters of compared deep neural networks have been analyzed as well.
اثر گایلاردین بر تکثیر و مرگ سلولهای سرطانی لوسمی لنفوبلاستیک حاد رده سلولی Nalm-6

Inula-oculus-christi زوتپوپآ نیدرلایاگ كیتسلابوفنل یمسول :همدقم لاس رد یعیبط تابیکرت زا هدافتسا ،ینامرد یمیش یاهوراد هب تمواقم شیازفا لیلد هب ریخا یاه حیسم مشچ یافصم . تسا هتفرگ رارق هجوت دروم ( L. christi oculus Inula ) گ زا یكی هنو یهایگ یاه هداوناخ زا هتیزوپماک ( Asteraceae ) یم هک دشاب یتنس بط هزوح رد یدایز تیمها یاراد هنوگ نیا زین ،نیا رب هولاع . تسا تاعلاطم رد ریخا هراصع هک هدش هدهاشم یور كیسکوتوتیاس رثا یاراد هایگ نیا ی لولس تسا هنیس ناطرس یاه . :فده یلولس هدر یور رب نیدرلایاگ كیسکوتوتیاس رثا هعلاطم نیا رد تفرگ رارق یسررب دروم داح كیتسلابوفنل یمسول . :یسررب شور شخب زا نیدرلایاگ هایگ ییاوه یاه داح كیتسلابوفنل یمسول هدر یور نآ كیسکوتوتیاس رثا . دش جارختسا حیسم مشچ یافصم 6 Nalm و
Highly Transparent, Underwater Self-Healing, and Ionic Conductive Elastomer Based on Multivalent Ion–Dipole Interactions

Ionic conductors that combine transparency, elasticity, and underwater self-healing capability are highly desirable because of their applications in biosensors, touch panels, marine ships, and so forth. Polymer materials based on ion–dipole interactions can meet these requirements. However, a key trade-off is their relatively weak mechanical properties because of the plasticizing effect. Here, we designed and synthesized a new ionic liquid building block to enable a new design of multivalent ion–dipole interaction. The resultant ion–dipole polymer complex not only enhances the Young’s modulus by more than 3 times but also possesses much better elasticity, without any sacrifice on the ionic conductivity or self-healing capability.