Miracle-dz/UniFAR-FTUs huggingface dataset:
Being civil is not enough: On practices of citizenship of women living in poverty in Israel

The public housing crisis became politically salient during and after the 2011 Tents Protest in Israel. Alongside demands from the young largely Jewish middle class to restore the economic order, many women in poverty took to the streets hoping to affect a change in the neoliberal course. This protest extended beyond the summer of 2011, and it was there where Gal the ‘researcher’ and Riki the ‘activist’ met. During our joint endeavour we wondered; how do women in poverty become activists and what incentivizes them to turn their personal struggle into a political collective act? This paper stems from our decision to bring together our respective knowledge and experience to the benefit of the struggle. Using life stories as our method we track the personal histories of women in poverty in order to better understand their journey away and towards home, and how the interpretation and conceptualization of their predicament has shaped their struggle. Theoretically, we employ the distinction offered by James Tully between civil/modern and civic/diverse modes of citizenship. By bringing the women’s voices to the fore and listening to what they say, we demonstrate first, how being disappointed by trailing the civil path to rights, they differ to the civic mode of citizenship; and, second, how by diversifying their forms of citizenship performance they re-constitute themselves as worthy, deserving citizens. We thus argue against common interpretations of people in poverty as irrational, apathetic and passive citizens, lacking the right(s) repertoire to fight against their social marginalization and being unworthy of their legal entitlements as citizens.
Comparison of Autologous Rectus Fascia and Synthetic Sling Methods of Transobturator Mid-Urethral Sling in Urinary Stress Incontinence

Objective: This study aims to compare the efficacy and complications between mesh obtained from the autologous rectus fascia and synthetic mesh used in transobturator tape procedure in the surgical treatment of urinary stress incontinence. Methods: A total of 62 female patients who underwent operation due to urinary stress incontinence were included in the study. From these, 31 patients underwent autologous rectus fascia with mid-urethral sling (Group 1), and the remaining 31 patients underwent the same operation using synthetic multilaminar propylene sling (Group 2). The groups were compared preoperative and postoperative according to results of Urogenital Distress Inventory-Short Form (UDI-6) and Incontinence Impact Questionnaire-Short Form (IIQ-7). Demographic characteristics, surgical features, and complications were also compared between the groups. P < 0.05 values were considered statistically significant. Results: The mean age was found as 54.74 ± 0.87 in Group 1 and 55.58 ± 0.76 in Group 2. There was no significant difference between the groups in terms of the preoperative and postoperative UDI-6 results (p=0.258, p=0.349). Similarly, the preoperative and postoperative IIQ-7 results did not show a significant difference between the groups (p=0,483, p=0,367). There was also no significant difference in demographic characteristics and complications between the groups. Only the mean operational time was significantly longer in Group 1 (p=0.029). Conclusion: Transobturator tape procedure with autologous rectus fascia is as effective and safe as synthetic mesh. This procedure provides an inexpensive and consumable option without posing a risk of mesh erosion and with low complication rates.
Phenylpropanoids in species of plants of the Duguetia genus: A review

The genus Duguetia encompasses 93 species, 63 of which are distributed in Brazil. However, only ten species had their chemical and biological profiles investigated so far. Although the alkaloids are the class of phytocompounds most studied, the interest in the phenylpropanoids is growing since distinct biological activities have been attributed to these derivatives lately. This review gathered studies describing the phytochemical distribution, methods of extraction, and biological activities of the phenylpropanoid from Duguetia species. It was evidenced that nonpolar solvents were able to provide the highest yield of 2,4,5-trimethoxystyrene, γ-asarone, and asaraldehyde which were mainly located at the ground stem barks. On the other hand, the α-asarone, elimicin, and (E)-methyl-isoeugenol were isolated from the polar extracts or the essential oils from the barks and leaves. The 2,4,5-trimethoxystyrene and asarone derivates were effective as crop protectors. The α- and γ-asarone, 2,4,5-trimethoxycinnamic acid, asaraldehyde, elemicin, and (E)-methyl-isoeugenol demonstrated anti-inflammatory, antidyslipidemic, antinociceptive, antibacterial, antidepressant, anxiolytic, insecticide, and larvicide activities. The Duguetia species can be a potential source of phenylpropanoids, therefore, future studies involving their extraction, identification, and application are still necessary and may culminate in the discovery of new drug candidates or natural agricultural defensives.
Who to show the ad to? Behavioral targeting in Internet advertising

PurposeThe performance of behavioral targeting (BT) mainly relies on the effectiveness of user classification since advertisers always want to target their advertisements to the most relevant users. In this paper, the authors frame the BT as a user classification problem and describe a machine learning–based approach for solving it.Design/methodology/approachTo perform such a study, two major research questions are investigated: the first question is how to represent a user’s online behavior. A good representation strategy should be able to effectively classify users based on their online activities. The second question is how different representation strategies affect the targeting performance. The authors propose three user behavior representation methods and compare them empirically using the area under the receiver operating characteristic curve (AUC) as a performance measure.FindingsThe experimental results indicate that ad campaign effectiveness can be significantly improved by combining user search queries, clicked URLs and clicked ads as a user profile. In addition, the authors also explore the temporal aspect of user behavior history by investigating the effect of history length on targeting performance. The authors note that an improvement of approximately 6.5% in AUC is achieved when user history is extended from 1 day to 14 days, which is substantial in targeting performance.Originality/valueThis paper confirms the effectiveness of BT on user classification and provides a validation of BT for Internet advertising.
Control method for improving the response of single-phase continuous conduction mode boost power factor correction converter

Continuous conduction mode power factor correction AC–DC converters are widely employed as the front stage in power supplies with medium or high output power. The second-order reactive input power in single-phase systems causes second-order ripple in the DC-link voltage. The speed of voltage regulation is thus limited by the second-order frequency in seeking to achieve low distorted input current. This study presents a fast second-order voltage estimation method, wherein an integrator is used for the estimation of second-order voltage ripple to obtain rapid voltage feedback without ripple and thereby cope with the limitations imposed by the second-order frequency. This approach greatly expands the bandwidth of the voltage control loop beyond the second-order frequency while reducing the total harmonic distortion associated with the input current. This also makes it possible to reduce the DC capacitance to reduce costs. The authors opted for full digital control using a TI F28335 DSP IC, in conjunction with feedback plus feedforward control to facilitate the design of the current loop. A feedback current corrector is used to reduce distortion associated with the input current over a wide load range. The effectiveness of the proposed control method was confirmed with some simulation and experimental results.
Multi-modality fusion coupled with deep learning for improved outcome prediction in head and neck cancer

Multi-level multi-modality fusion radiomics is a promising technique with potential to improve the prognostication of cancer. We aim to use advanced fusion techniques on PET and CT images coupled with deep learning (DL) to improve outcome prediction in head and neck squamous cell carcinoma (HNSCC). In our study, 408 HNSCC patients were included from The Cancer Imaging Archive (TCIA) in a multi-center setting. Prognostic outcomes (binary classification) included overall survival (OS), distant metastasis (DM), locoregional recurrence (LR), and progression free survival (PFS). We utilized a DL algorithm with a 17-layer 3D convolutional neural network (CNN) architecture. Prior to training, each image underwent min-max-normalization, image-augmentation by using random rotations (0-20°) to improve the performance and generalizability of our model and followed by 5-fold-cross-validation. We employed 12 datasets, including CT, PET, and 10 image-level fused datasets. The best OS performance was achieved via Discrete-wavelet-transform (DWT) resulting in mean accuracy of 0.93±0.06. The best DM score was achieved via ratio of low-pass pyramid (RLPP), resulting in an accuracy of 0.95±0.02. Optimal LR and PFS scores were achieved using DWT and RLPP for LR, and Laplacian pyramid for PFS, resulting in accuracies of 0.90-0.92. Comparatively, when using a machine learning framework instead of deep learning, we obtained scores of 0.83, 0.90, and 0.87 for the prediction of OS, DM, and LR. Our study demonstrates that our multi-modality fusion techniques performed better than using standalone PET or CT in prognostication of HNSCC patients and that a high level of accuracy can be achieved for prognostication of HNSCC patients when combining multi modality fusion techniques with DL.
Transnational Governance and the Urban Politics of Nature-Based Solutions for Climate Change

Abstract:Multiple visions for how urbanism can respond to the climate crisis and foster sustainability have emerged on the international agenda, including the ecocity, low-carbon city, smart city, and resilient city. These competing visions have been joined by one deploying "nature-based solutions. " We examine how nature-based solutions are emerging as a linchpin holding together the nature and climate agendas and what this means for where and by whom nature-based solutions are forming part of transnational urban governance. We argue that this field is animated by four frames connecting urban nature and climate: nature for resilience, nature for mitigation, the integrated benefits of nature, and nature first. Diverse actors, from conservation organizations to design firms to transnational municipal networks, draw on these frames and adopt new governance arrangements such that what it means to govern climate in the city is shifting. How this emerging nature–climate governance complex is structured will generate new momentum for governing urban nature over the coming decade.
Two Zn(II)-bearing complexes: treatment activity combined with Sevoflurane on breast cancer by regulating the Yap signaling pathway

Abstract In the current study, by using the mixed-ligand synthesis approach, two new Zn(II)-containing coordination polymers (CPs), namely, [Zn3(bpda)3(bib)2]·H2O (1), [Zn5(OH)2(H2O)2(bpda)4(bib)2]·2H2O (2), (H2bpda = biphenyl-2,4′-dicarboxylic acid, bib = 1,4-bis(1-imidazolyl)benzene) were solvothermally synthesized. Furthermore, the inhibitory activity of the two compounds against the breast cancer was determined and the detailed mechanism was investigated. Firstly, the trans-well method assay was implemented for the determination of the compounds’ inhibitory activity against the breast cancer migration ability. In addition to this, the real time RT-PCR was utilized to in-depth measure the signaling pathway of YAP relative expression level.
Main Influencing Factors of Automobile Fuel Consumption Testing with Ultrasonic Technology

： Combining with the development level and development trend of automotive fuel consumption test technology, and adopting the ultrasonic technology and single-chip microcomputer control technology, a research was made on the automotive fuel consumption test technology. The mathematical calculation model of automobile fuel consumption test was established based on the fuel consumption test theory of ultrasonic time difference method. The fuel flow rate was modified by means of flow correction coefficient based on fluid mechanics theory. Analyzing the geometry parameters’ influence of the ultrasonic flow sensor on automobile fuel consumption test, and using the 3 d coordinate method, the ultrasonic flow sensor’s geometry parameters can be accurately calculated. By analyzing the environmental temperature’s influence on the flow rate correction coefficient and the propagation velocity of ultrasonic wave in the fuel, modification measures were put forward. Quantitatively analyzing the parameters of sound and threshold value which influence calculating ultrasonic transmission time, eliminating the frequency noise using the maximum likelihood estimation method, and reasonably choosing the threshold value, the simulation results showed that automobile fuel consumption testing accuracy was up to 12 ns. Comprehensively taking into account the influencing factors of fuel consumption test and taking corrective measures can optimize the mathematical calculation model of automobile fuel consumption test, and improve the automobile fuel consumption test accuracy. Thus, it will lay a theoretical foundation for the research and development of an ultrasonic automobile fuel consumption testing instrument.
Tire defect detection algorithm based on multi-task learning and normal feature fusion

The structure of tire X-ray image is complex, and the defect information is highly related to the background information, which brings difficulties to automatic defect detection. To solve these problems, this paper proposed a tire defect detection algorithm based on multi-task learning and normal feature fusion. Firstly, a tire defect detection model was designed based on YOLOV4, and then a background classification task was added into the model using the idea of multitask learning. Finally, the result of model recognition is adjusted by fusion background feature detection algorithm. Experimental results show that the proposed algorithm can greatly improve mAP when detecting several kinds of defects with a large relationship with location, and has good application value.
Current Reference with Temperature and Process Compensation

A current reference using temperature and process compensation current mirror is proposed.The temperature independent reference current is generated by summing a proportional to absolute temperature(PTAT) current and a complementary to absolute temperature(CTAT) current.Simulation is implemented under the Cadence's Spectre based on CSMC 0.5um BiCMOS process.Simulation Result indicates the proposed current reference can output a 21.52uA stable current,and the temperature coefficient is 24.4ppm/℃ over a temperature range of-40~85℃.
Bone Remodeling Changes in an Individual with Tuberculosis-Induced, Left-Sided Femoroacetabular Joint Destruction, from Nineteenth-Century Milton, New Zealand

Bone is dynamic, undergoing metabolic changes in response to behavioral and pathological stimuli. This information can be reconstructed in bioarchaeology using histological methods, providing another avenue to explore the experiences of past peoples. We report histological findings from midshaft femoral cortical bone of an identified individual from nineteenth-century New Zealand, who suffered from tuberculosis and had a historically documented period of invalidism. Materials: Burial 21 (B21) is a middle-aged male excavated from the nineteenth-century site of St. John’s burial ground, Milton. B21’s left proximal femur and acetabulum exhibited lytic lesions associated with tuberculosis-induced destruction of bone. Documentation, including a cause of death of “pneumonic phthisis haemorrhage,” and various biographic details exist for this burial. These suggest that B21’s left and right midshaft femur were under asymmetric biomechanical and pathological conditions and should show differences in the underlying bone remodeling. Methods: We collected data on Haversian bone microstructure geometric properties and densities from a total of 148 secondary osteons and 481 Haversian canals. Results: The left femur, from the tuberculosis-inflicted hip joint, had fewer, larger, and more irregularly shaped canals and osteons than the right femur. Discussion and Conclusion: These findings may indicate the left femur received less biomechanical stimulation than the right femur due to decreased weightbearing. It is also possible that the tuberculosis infection in this individual impacted his bone metabolic activity, leading to increased experiences of bone loss. The presented histological approach may enhance interpretations in bioarchaeology by identifying whether bone remodeling changes occur as a result of long-or short-term disuse.
Ethylene works as a possible regulator for the rootlet elongation and transcription of genes for phosphorus acquisition in cluster roots of Lupinus albus L.

ABSTRACT White lupin (Lupinus albus L.) plants are tolerant plants under phosphorus (P)deficiency. They form unique morphological roots, so-called cluster roots (CRs) under P deficiency. CRs contribute to P absorption by the expansion of the root surface area and P mobilization activities. Previous research has implied the involvement of several hormonal functions in CR formation. Ethylene is a key regulator responsible for the modification of root architecture and P acquisition in response to low P in plants. However, understanding the effect of ethylene on CR morphogenesis is not enough. Here, the focus was on the effects of ethylene on CR morphology and gene expression for P acquisition. First, a reanalysis of public RNA-Seq data indicated that the gene expression for ethylene synthesis was induced during CR maturation. In turn, the 10-days application of an ethylene synthesis inhibitor, CoCl2, and an ethylene precursor, ACC, to CR formed in hydroponic culture without P was performed. CR morphology, transcript levels of the genes related to P acquisition, and citrate concentration in roots were determined. The results indicated that the elongation of rootlets in CR was promoted in a Co2+ concentration-dependent manner, suggesting that ethylene is responsible for the arrest of rootlet elongation. mRNA accumulation for acid phosphatases, phosphate transporters, citrate synthases, and a putative citrate transporter increased in ACC-treated immature CR, suggesting that ethylene induces the transcription of genes for P acquisition. Additionally, the trend of citrate concentration in roots among treatments was similar to that in the expression of citrate synthases, supporting that ethylene accumulation promotes citrate synthesis. The roles of the arrest of rootlet elongation and regulation of gene expressions for P acquisition are considered independent functions of ethylene. It was concluded that ethylene works as a possible regulator for the rootlet elongation and transcription of genes for P acquisition in CRs, although further studies are required to elucidate the molecular mechanisms of the arrest of rootlet elongation and transcriptional regulation.
Automatic recognition method of multi commodity image in Internet of Things system under noise interference

Because of the interference of noise, the accuracy of image recognition will decrease. Therefore, an automatic recognition method of multi-commodity image in Internet-of-Things system is proposed. The local pixel block matching algorithm is used to construct the PCA training sample set, and the principal component analysis is used to model. The model is used to filter the noise of commodity image, and the epipolar constraint is introduced into RANSAC algorithm to ensure the reliability of recognition results. Experimental results show that the proposed method can achieve more than 95% accuracy when the threshold of the noise interference strategy is 30%, which is obviously better than the two comparison methods.
Verifying and Assessing a Performance of an Automatic Vacuum Robot under Different Room Conditions

Artificial intelligence has become the mainstream technology. Automatic vacuum clean- ers or robot vacuums change the field of vacuum cleaners with an involvement of an au- tomation, which is a technology that makes people’s daily life easier and more economical. Robot vacuums were invented by the Massachusetts Institute of Technology in 1990. To- day, robot vacuums are successful and have many users all around the world. More than 2.5 million families live in 60 countries use them. However, a question that is still being asked about robot vacuum is the efficiency of room coverage and the ability to remem- ber the redundant areas that have already been cleaned. The answers to these questions are unclear, as manufacturers do not reveal the algorithms that are learned by robots, or sometimes they just partially did, due to business reasons. This study was proposed in response to the above questions by using our mobile application for tracking and recording actual geolocations of the robot walking across various points of the room by extracting the real geolocation data from satellites consisting of a latitude and a longitude under multiple different room conditions. Once the robot has cleaned throughout the room, the applica- tion reported all areas that the robot has cleaned for analysis purpose. We presented the actual route map, the coverage area map, and the duplicate area map of the robot that potentially led the further understanding of robot vacuum’s effectiveness.
Comparison of Hard and Soft Cervical Collars for the Management of Odontoid Peg Fractures in the Elderly

Introduction Odontoid peg fractures (OF) are the most common cervical spine fracture in the elderly. This retrospective analysis aimed to compare the outcomes of older patients with OF who had been managed non-operatively with either a hard or soft cervical collar. Materials and Methods We analysed the retrospective data of the clinical and radiographic records of patients 60 years or older who presented over a 10-year period with OF and were treated non-operatively with a cervical collar. Mortality was the primary outcome measure with mechanism of injury, complications, and fracture healing secondary measures. Results 45 patients (hard collar n = 22; soft collar n = 23) were included with comparable demographics for frailty and co-morbidities in each group; age was significantly higher in the soft collar group (80.6 vs 86.4 years; P = .0065). Associated injuries and complications were not significantly different overall, or when Type II fractures were separately analysed (P = .435 associated injuries, P = .121 complications). All-cause mortality was greater in the soft collar group (30-day mortality hard: 0%, soft: 9%; 1-year mortality hard: 18%, soft: 48% P = .035). However, once corrected for age, this proved not to reach significance (P = .333) in any fracture type. Non-union was common (77%) but was not significantly different (hard = 70%; soft = 87%; P = .419). Discussion Consistent with other reports, non-union rates remained substantial regardless of which collar was used. After controlling for age, there was no difference in all-cause mortality between elderly patients treated with a hard or soft cervical collar for odontoid peg fractures. Conclusions Soft collars appear suitable for the treatment of odontoid peg fractures in the elderly without compromising outcome. Larger cohort analyses will help confirm this finding.